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19d ago

Data Analyst – Analytics & Strategy

cabi, LLC Long Beach, CA

Long Beach, CA

19d ago

$75k - $85k/yr Full time Marketing Analytics Artificial Intelligence

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Job Description

Data Analyst – Analytics & Strategy at cabi, LLC will support recurring executive reporting and deliver ad hoc analysis in partnership with teams across the business. The role emphasizes reliable Tableau dashboard operations, Snowflake transformation pipelines, and converting unclear requests into scoped analysis and recommendations.

Key Responsibilities

Own and maintain a portfolio of recurring reports and Tableau dashboards used by executives and teams across the company.
Monitor data refreshes and pipelines, troubleshoot issues quickly, and keep stakeholders informed when something breaks.
Identify manual or repetitive reporting work and automate it using SQL, scripting, and AI tools to improve speed and reliability.
Build and maintain data transformation pipelines in the cloud data warehouse Snowflake that support reporting and analysis.
Write clear documentation for reports, metric definitions, and data logic to enable cross-team support.
Validate data and verify outputs to ensure published numbers are trustworthy.
Partner with stakeholders to understand the business questions behind analytics requests.
Translate vague or loosely defined asks into specific questions, scoped analyses, and clear timelines.
Help develop data products that keep teams informed and support decision-making.
Design and build new Tableau dashboards from the ground up, from requirements and data modeling through final design.
Conduct statistical analyses to uncover trends, patterns, and correlations; explain performance; identify opportunities; and present findings in plain language with clear recommendations.
Guide stakeholders through what the data means for decisions, including where the data has limits.
Use AI tools to speed up analysis, explore new approaches, and prototype solutions, then share learnings with the team.

Required Qualifications

2–4 years of experience in data analytics, business intelligence, or a related role.
Strong SQL skills and experience working in a cloud data warehouse such as Snowflake.
Hands-on experience building Tableau dashboards from scratch, including data modeling, calculations, and visual design.
Experience building and/or maintaining data transformation pipelines.
Regular, practical use of AI tools and genuine curiosity about how AI can impact analytics workflows.
Excellent written and verbal communication skills, including explaining technical findings to non-technical audiences.
Ability to handle ambiguous requests by asking the right questions and forming a focused analysis.
High attention to detail, including catching errors, sanity-checking numbers against business context, and meeting an accuracy standard suitable for executive and board reporting.
Comfort managing multiple priorities and keeping stakeholders updated on progress.
Bachelor’s degree in a quantitative field (analytics, statistics, economics, computer science, or business) or equivalent experience.
Collaborative mindset and eagerness to work across teams in a fast-moving environment.
Strong team player who supports colleagues and takes ownership and accountability.

Tools and Technologies

SQL, Tableau, Snowflake, AI tools, scripting, Python, dbt
Google Analytics, Meta, Instagram, TikTok
Tableau Server, Tableau Cloud

Benefits

Competitive medical, dental, and vision coverage.
Flexible spending account options.
Company-paid life and AD&D insurance.
401(k) retirement plan with a company match.
Paid time off and paid holidays.
Employee purchase discounts of up to 85%.
Additional employee appreciation and clothing perks.
Opportunities for training and professional development.
Team celebrations, catered lunches, and other employee appreciation experiences.
Up to 10% Bonus.
Competitive base salary (anticipated range $75,000-$85,000).

Nice to Have

Experience with dbt or a similar transformation tool.
Python for data processing, automation, or analysis.
Experience in retail, fashion, direct sales, or another consumer business.
Familiarity with performance marketing and acquisition platforms such as Google Analytics, Meta, Instagram, and TikTok.
Familiarity with Tableau Server or Tableau Cloud administration.

Location and Role Details

Location: Long Beach, CA (onsite)
Salary: USD 75,000 - 85,000 per year
Experience level: 2 years minimum

Candidate Safety

Cabi recruiters will only contact candidates through @cabiexperience.com or through the official applicant tracking system, Greenhouse.
Cabi recruiters will never ask candidates to send money, purchase equipment or gift cards, deposit a check, or provide sensitive financial information as part of the recruiting process.
If you are unsure whether a communication is legitimately from cabi, contact jobs@cabiexperience.com before providing any personal information.

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19d ago

Geospatial Data Analyst

Organizational Development Resource Group Arlington, VA

Arlington, VA

19d ago

$115k - $125k/yr Full time Arcgis Pro Data Analysis Data Analytics

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Job Description

The Geospatial Data Analyst will support CISA’s undersea cable and network analysis program by designing, building, and maintaining communications infrastructure datasets that power an Infrastructure Mapping Tool (IMT). This role owns the data layer (IDS), spanning schema definition, validation, dataset releases, and operation of the supporting geospatial database.

Primary Responsibilities

Produce and maintain the IDS Design Description, including the data schema, data system architecture, data dictionary, and Data Management Plan, and provide dataset design and specifications prior to any production dataset update.
Develop and test datasets within designated CISA IT infrastructure, including storage of raw datasets and source feeds on CISA enterprise infrastructure, while ensuring alignment with CISA data architecture and schema requirements.
Ensure dataset development, integration, validation, and testing follow CISA IT enterprise data lifecycle requirements.
Acquire, update, validate, and maintain Federal Government telecommunications usage and capacity data at least semi-annually for use in the IMT.
Integrate new telecommunications resource data into the IDS as it becomes available.
Provide complete documentation and annotated source code for all IMT data, including data dictionaries and frameworks.
Deliver recurring IDS outputs, including monthly IDS documentation and Infrastructure Data Integration Assessments and Validation, quarterly IDS layer updates, and an annual full normalization update.
Design, operate, tune, and secure the geospatial database supporting the IMT; monitor performance and capacity and coordinate configuration with system, software, and security teams.
Maintain interconnections between the IDS database, the IMT and related applications, and other enterprise data systems.
Support data handoff during transition, including integrating the IDS onto Government or successor equipment.

Required Qualifications

Education and experience: Bachelor’s degree plus 12 years of specialized experience, or Master’s degree plus 10 years, or 16 years of specialized experience in lieu of a degree (GTSS BPA Geospatial Database Administrator (Sr) minimums).
Experience designing, implementing, operating, maintaining, and repairing DHS geospatial databases.
Ability to monitor geospatial database performance and capacity and implement measures to improve efficiency and security.
Experience configuring hardware and software in coordination with system, software, and security teams.
Capability to design geospatial database structure to meet emerging mission requirements, strengthen security posture, and improve information handling and sharing.
Ability to maintain network interconnections between the database, systems and applications, and other databases and systems.
Enterprise geospatial database design and administration experience, including enterprise geodatabases on SQL Server, PostgreSQL/PostGIS, or Oracle, with knowledge of schema design, indexing, performance tuning, and backup and recovery.
Data management discipline, including data dictionaries, Data Management Plans, data lifecycle, metadata, and versioned dataset releases.
ETL and data validation experience using ArcGIS tools (ArcGIS Pro, ArcGIS Data Interoperability/FME) and Python (ArcPy, ArcGIS API for Python, SQL).
Background in a telecommunications discipline, with experience handling network or communications infrastructure data.
Working knowledge of cybersecurity and IT security as applied to databases, including access control, hardening, and NIST SP 800-53 controls.
Intermediate or better proficiency with the Esri ArcGIS product suite.
Strong technical writing for design descriptions and data documentation.
Personable, client-facing communication skills and ability to build rapport with Government customers and teammates, with effective collaboration on a small team.
Active Top Secret clearance and eligibility for SCI access at time of hire.

Technologies

ArcGIS Pro
ArcGIS Data Interoperability/FME
ArcPy
ArcGIS API for Python
Python
SQL
SQL Server
PostgreSQL
PostGIS
Oracle
Esri ArcGIS
NIST SP 800-53

Location and Clearance

Work location: Classified (TS/SCI) work on-site in Arlington, VA 22201 and the NRCC as directed.
Clearance: Active Top Secret clearance and eligible for SCI access at time of hire.

Compensation

USD 115,000 - 125,000 per year.

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19d ago

Quantitative Credit Data Analyst

KeyBank National Association Cleveland, OH

Cleveland, OH

19d ago

$71k - $125k/yr Full time Business Analytics Business Intelligence Credit Risk

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Job Description

The Quantitative Credit Data Analyst role within Credit Portfolio Management (CPM) supports portfolio research and quantitative analysis using internal and external data. The position partners across Treasury, Finance, Credit Risk, and line of business teams to deliver insights and actionable recommendations to senior leaders.

Key Responsibilities

Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key’s commercial credit portfolios.
Develop insights and recommendations using internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
Advance CPM analytical capabilities through continuous improvement initiatives, including annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
Identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
Develop and maintain analytical reporting, dashboards, and monitoring tools used for portfolio management, risk oversight, and executive decision-making.
Present analytical findings, portfolio assessments, and risk insights clearly and in an actionable format to business partners and senior leadership.
Perform additional duties or project work as assigned.

Required Qualifications

Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Data Science, Engineering, Finance, Economics) or other quantitative fields of study, or relevant experience.
3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
Strong analytical and problem-solving skills, including the ability to synthesize large and complex datasets and translate analysis into actionable insights.
Experience using SQL and/or analytical programming languages such as Python, SAS, R, or equivalents for data querying, analysis, and transformation.
Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
Strong written and verbal communication skills for presenting findings and recommendations to business partners and senior leadership.
Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high accuracy.
Advanced proficiency with Microsoft Excel and Microsoft PowerPoint.
Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
Ability to support development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.

Preferred Qualifications

Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.

Technologies

SQL
Python
SAS
R
Tableau
Power BI
Microsoft Excel
Microsoft PowerPoint

Compensation and Benefits

Base salary range: $71,000.00 - $125,000.00 annually.
Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Placement within the pay range may vary based on skills, experience, and geographic location.
Key has implemented an approach to employee workspaces that prioritizes in-office presence while providing flexible options when roles can be performed effectively in a mobile environment.

Location and Posting Details

Cleveland, OH (hybrid)
Job Posting Expiration Date: 11/14/2026
#LI-Hybrid

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19d ago

Sr. Data Analyst - Tableau Developer

KeyBank National Association Brooklyn, OH

Brooklyn, OH

19d ago

$80k - $150k/yr Full time Senior Analytics Business Intelligence

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Job Description

At KeyBank National Association, this role sits within the REA Program, serving as part of the second line of defense for Compliance Risk Management. You will design, build, and maintain Tableau dashboards and reporting solutions that support regulatory compliance, risk monitoring, control testing analytics, and executive decision-making.

Based in Brooklyn, OH, this hybrid position pairs independent risk-focused analytics with strong collaboration across business teams. The base salary range for this role is USD 80,000 - 150,000 per year, with possible eligibility for incentive compensation.

What you will do

Collaborate with risk evaluation and assurance professionals to design, develop, and maintain Tableau dashboards, scorecards, and self-service reporting for risk-based monitoring, testing, and analytics.
Partner with business teams to gather reporting requirements and translate them into scalable analytical solutions.
Analyze data to identify trends and outliers, evaluate alignment with internal policies/procedures and/or regulatory requirements, and assess root cause(s) for identified issues.
Build data models and establish data visualization standards that support regulatory reporting, compliance monitoring, control testing, risk assessments, and issue management.
Maintain data accuracy through validation, reconciliation, and quality assurance procedures.
Optimize Tableau workbooks for performance, usability, scalability, and maintenance.
Connect Tableau to multiple data sources, including SQL Server, cloud-based data warehouses, data lakes, and enterprise reporting repositories.
Develop and support automated reporting processes and recurring management reporting packages.
Create technical documentation, data dictionaries, and user training materials.
Support audits, regulatory examinations, and management inquiries tied to compliance reporting and analytics.
Maintain and expand knowledge of banking products (such as lending and deposits) and understand how those products apply to analytics, testing, and monitoring strategies.
Develop and deepen understanding of financial services source systems (such as loan origination/servicing and deposits), operations and process flows, banking regulations, and compliance frameworks.

Requirements

Bachelor’s Degree in Information Technology/Systems (IT/MIS), Business Analytics, Computer Science, or another related quantitative or IT field.
Minimum 2 years of practical and functional data analysis and reporting experience, such as business, data, operations, compliance, or risk analyst, internal auditor, or a role including significant aspects of the listed responsibilities.
Strong SQL skills, including complex joins, aggregations, window functions, and performance optimization.
Ability to work with big data and navigate data warehouses to retrieve, combine, and analyze data.
Experience retrieving and understanding banking products and transactional data, including customer information data.
Self-motivated and flexible, able to adapt quickly to changing priorities in a fast-paced environment.
High ethical standards and strong critical, strategic, analytical, and problem-solving skills.
Strong interpersonal skills and effective communication (verbal and written) to build collaborative relationships with team members and mid- to senior-level management and internal clients.
Required Technical Skills: Tableau Desktop, Tableau Server/Tableau Cloud, SQL, Data Visualization and Dashboard Design, Microsoft Excel.

Technologies

Tableau Desktop, Tableau Server, Tableau Cloud
SQL, Microsoft Excel
SQL Server
Python, SAS
BigQuery
Power BI
ETL, Data Integration Tools

Compensation and benefits

Base salary range: $80,000.00 - $150,000.00 annually
Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives
Click to view a list of benefits for which this position may be eligible
Workplace approach that prioritizes in-office presence while offering flexible options when roles can be performed effectively in a mobile environment

Job posting expiration date: 11/14/2026

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19d ago

Business Data Analyst

Alaska Marine Lines Seattle, WA

Seattle, WA

19d ago

$77k - $105k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Alaska Marine Lines is hiring a Business Data Analyst in Seattle, WA to improve operations through analytics, reporting dashboards, and automated tools.

Responsibilities

Understand the business by meeting with employees and managers, observing workflows, and identifying inefficiencies, bottlenecks, and improvement opportunities
Translate business challenges into plans by gathering requirements, documenting current and proposed processes, and guiding discussions to recommend practical solutions
Make operational and business data actionable by analyzing trends, investigating exceptions, and identifying opportunities
Build decision support reporting such as reports, dashboards, and scorecards
Design, test, implement, and maintain automated workflows, reports, notifications, and other solutions to improve efficiency, accuracy, and visibility
Partner across teams, including Information Technology, Business Intelligence, and business stakeholders, to ensure solutions meet operational needs and improve data quality and accessibility
Drive improvement initiatives from discovery through implementation by coordinating milestones, tracking risks, and keeping stakeholders informed
Support lasting change through documentation, training, user testing and adoption support, and measurement of whether improvements deliver intended results

Requirements

Relevant experience in business analysis, operations, logistics, reporting, process improvement, or analytics
Strong Excel skills
Experience with Power BI, Tableau, Microsoft Fabric, Power Automate, SQL, or Python is a plus
Ability to build relationships, manage competing priorities, and follow through on projects independently and collaboratively
Related bachelor’s degree preferred; equivalent combination of education and experience accepted

Technologies

Excel
Power BI
Tableau
Microsoft Fabric
Power Automate
SQL
Python

Compensation

USD 77,400 - 105,000 per year (full-time annual equivalent)
Actual pay may be hourly or salaried; placement within the range depends on qualifications, experience, and assigned responsibilities
Exempt or nonexempt classification determined by assigned duties and applicable legal requirements

Benefits

Health insurance: medical, dental, and vision with low employee contributions
Health insurance for your family: company contributions for medical, dental, and vision
Paid time off: starts with 17 days paid time off per year (PTO) plus additional extended leave paid time
Paid holidays: 8 paid holidays per year (New Years Day, Memorial Day, Fourth of July, Labor Day, Thanksgiving Day, Day after Thanksgiving, Christmas Eve, Christmas Day)
401(k) with company match + additional annual retirement contribution
Health and Wellness Program: FitOn
Tuition Reimbursement
Employee Assistance Program
Life Insurance and AD&D: company-paid at no cost to you
Long term disability: company-paid at no cost to you
Opportunities for internal promotions and career advancement
Family friendly work hours (closed on weekends and paid holidays)
Discretionary Bonus Program
Competitive wages with annual performance and wage reviews

Additional Information

All offers of employment are contingent upon completion of a satisfactory physical, background check, and pre-employment drug testing
Random drug testing is a requirement for all AML employees

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19d ago

Senior Data Analyst

Circuit Court of Cook County, Illinois Chicago, IL

Chicago, IL

19d ago

$109k+/yr Full time Manager Senior Business Analytics

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Job Description

Senior Data Analyst position supports organizational performance, accountability, and data-informed decision-making within the Department.

Responsibilities

Supervise the daily work of Data Analysts, including assigning and prioritizing tasks, setting expectations and deadlines, reviewing deliverables, and providing ongoing guidance and feedback.
Train, coach, and develop Data Analysts in data extraction, querying, data cleaning, merging and validation, statistical and quantitative analysis, report development, performance measurement, visualization, and interpretation.
Review datasets, analyses, reports, dashboards, visualizations, and other work products for accuracy, completeness, consistency, appropriate methodology, and clear interpretation prior to dissemination.
Establish consistent processes, documentation requirements, and quality standards for departmental data analysis and reporting.
Build capacity so Data Analysts can independently manage increasingly complex assignments and communicate findings to leadership and stakeholders.
Provide technical guidance and serve as a resource on appropriate data collection, analysis, interpretation, presentation, and use of data.
Promote a culture of data integrity, accountability, continuous learning, and data-informed decision-making.
Independently collect, extract, clean, organize, transform, merge, validate, and analyze data from department case management systems, relational databases, spreadsheets, reports, and other data sources.
Independently lead routine, complex, ad hoc, and time-sensitive data requests from Department leadership, the judiciary, OCJ leadership, government partners, service providers, funders, and other authorized stakeholders.
Select suitable data sources, measures, methodologies, and analytical approaches based on each request’s purpose and scope.
Conduct descriptive, comparative, trend, outcome, caseload, workload, performance, and other analyses to identify trends, patterns, variations, disparities, anomalies, and areas needing further review.
Develop recurring and ad hoc reports to support operational management, strategic planning, program evaluation, quality improvement, policy development, budgeting, grants, and executive decision-making.
Translate complex quantitative information into clear tables, charts, visualizations, dashboards, summaries, presentations, and written narratives for technical and non-technical audiences.
Interpret findings and develop clear conclusions, recommendations, and actionable information for Department leadership.
Respond to expedited requests while maintaining accuracy, validation, confidentiality, documentation, and quality standards.
Communicate data limitations, assumptions, definitions, methodologies, and other factors required for correct interpretation.
Lead and support development and maintenance of performance measures, indicators, benchmarks, outcome measures, and reporting processes used to monitor operations, service delivery, organizational performance, and youth outcomes.
Monitor organizational and program performance, identifying significant trends, changes, inconsistencies, or emerging issues requiring leadership attention.
Partner with leadership and operational staff to define meaningful measures of performance, efficiency, quality, service delivery, and outcomes.
Lead and support evaluation of departmental programs, initiatives, policies, evidence-based practices, and implementation efforts; assist with interpreting performance information and identifying improvement opportunities.
Analyze program utilization, referrals, caseloads, supervision practices, services, interventions, and youth outcomes as appropriate.
Provide data and analysis to support grant applications and reporting, budget development, audits, compliance reviews, strategic priorities, and other departmental requirements.
Lead efforts to evaluate and improve accuracy, completeness, consistency, reliability, and usability of data maintained within department systems and other data sources.
Conduct and oversee data-quality reviews, identifying missing, duplicate, inconsistent, inaccurate, or potentially unreliable information.
Investigate data-quality concerns and work with operational staff, OCJ MIS, and other appropriate personnel to resolve discrepancies and system-related issues.
Develop and implement standardized data definitions, documentation, validation processes, quality-control procedures, and reporting practices.
Develop, maintain, and oversee data dictionaries, reporting documentation, methodologies, query documentation, and resources that support consistent interpretation and use.
Recommend improvements to data collection, data entry, case management, validation, and reporting processes to strengthen reliability and usability.
Collaborate with identified staff and operational leadership to analyze information tied to organizational performance and improvement priorities.
Provide analytical support for quality improvement activities, strategic initiatives, evidence-based practice implementation, program development, and other priorities.
Participate in cross-functional projects and workgroups requiring data analysis, performance measurement, research, or evaluation support.
Identify data needed to determine whether initiatives are implemented as intended and achieving desired results.
Support development of a data-informed organizational culture by helping staff and leaders understand, interpret, and appropriately use performance information.
Prepare recommendations, executive summaries, reports, presentations, and briefing materials that translate complex information into actionable content for leadership decision-making.
Collaborate with Juvenile Temporary Detention Center (JTDC), OCJ MIS, Adult Probation, other OCJ departments, County agencies, and authorized external partners to support data collection, analysis, reporting, performance measurement, and system improvement.
Lead and coordinate cross-system data requests and reconcile information across multiple databases and information systems.
Work with internal and external partners to establish shared data definitions, reporting methodologies, quality standards, and consistent approaches to interpretation when appropriate.
Participate in cross-departmental and interagency workgroups involving data, research, evaluation, performance measurement, and system improvement.
Support authorized data-sharing activities and ensure appropriate confidentiality, security, data governance, and data-use requirements.
Serve as a department data resource when collaborating with external researchers, universities, government agencies, providers, and other authorized organizations.
Develop and maintain advanced spreadsheets, databases, queries, reporting tools, templates, dashboards, and other mechanisms to support analysis and reporting.
Identify opportunities to improve efficiency, accuracy, consistency, and effectiveness of data collection, analysis, validation, visualization, and reporting.
Lead or assist with implementation and effective use of new data visualization, reporting, analytical, and business intelligence tools as capabilities evolve.
Work with OCJ MIS and other appropriate personnel to strengthen data systems and the department’s ability to obtain and analyze information.
Maintain current knowledge of emerging practices and technologies in data analysis, performance measurement, data visualization, data governance, program evaluation, and public-sector performance management.
Train and support Data Analysts and other departmental staff in effective use of analytical and reporting tools.
Oversee preparation of accurate, timely, accessible, and appropriately validated information for the judiciary, department leadership, OCJ leadership, government partners, service providers, and other authorized stakeholders.
Develop reports, presentations, dashboards, and visualizations that communicate complex information to audiences with varying technical knowledge.
Present findings and respond to questions about methodology, findings, trends, limitations, and implications.
Ensure external reporting accurately and appropriately reflects departmental operations, performance, priorities, and outcomes.
Provide technical guidance to Data Analysts preparing information for executive, judicial, governmental, and external audiences.

Requirements

Master’s degree from an accredited college or university in criminology, public policy, or other related social science field.
3 years of progressively responsible professional experience involving data analysis, performance measurement, research, program evaluation, business intelligence, statistical analysis, reporting, or closely related analytical work.
At least 1 year of statistical programming experience using SPSS, R, or Python, preferably with criminal justice or civil law data.
1 year of experience supervising professional staff, leading analytical projects, serving as a technical lead, and providing formal training, coaching, or technical oversight to analytical or research professionals.
An equivalent combination of relevant education, professional training, and experience may be considered.
Primary residence in the State of Illinois within 90 days of the date of hire.
Pass a pre-employment medical exam, drug screen, and background check (LEADS and CANTS).
Negative result from the Illinois Department of Children and Family Services child abuse registry.

Technologies

Microsoft Excel
SQL
R
Python
SPSS
SAS
Power BI
Tableau
LEADS
CANTS

Working Conditions / Physical Requirements

Primarily a professional office environment with regular and prolonged use of computers and standard office equipment.
Prolonged periods of computer-based data analysis, validation, review, and reporting.
Frequent interaction and collaboration with Data Analysts, Department staff and leadership, OCJ MIS, JTDC, Adult Probation, judiciary personnel, and internal and external stakeholders.
Manage multiple assignments, changing priorities, and urgent or time-sensitive data and reporting requests.
Maintain sustained attention to detail when reviewing, cleaning, analyzing, and validating large or complex datasets and reviewing subordinate work.
May require attendance at meetings or activities at various Department, County, court, or partner locations.
May occasionally require work outside regular business hours for urgent operational, leadership, or court-related data needs.
Handle and safeguard confidential and sensitive youth, court, employee, organizational, and operational information.

Additional Duties

Maintain confidentiality and safeguard sensitive youth, family, employee, court, operational, and organizational information.
Ensure compliance with requirements for confidential court and juvenile justice information, data privacy, security, and authorized data use.
Participate in professional development and organizational learning related to data analytics, statistical methods, data visualization, performance measurement, supervision, juvenile justice, court administration, and emerging technology.
Remain current on research, analytical methods, and best practices relevant to juvenile justice and court administration.
Perform other related duties as assigned.

Knowledge, Skills, and Abilities

Advanced knowledge of quantitative analysis, descriptive statistics, data quality, performance measurement, program evaluation principles, and analytical methods.
Advanced skill collecting, extracting, cleaning, transforming, merging, validating, analyzing, and interpreting complex data from multiple sources.
Advanced proficiency with Microsoft Excel, including organizing and analyzing large datasets, formulas, pivot tables, data validation, reconciliation, and visualization.
Proficiency with statistical programming, database querying, or analytical tools such as SQL, R, Python, SPSS, SAS, or comparable platforms.
Knowledge of relational databases and ability to write, review, and troubleshoot database queries.
Experience with data visualization and business intelligence tools such as Power BI, Tableau, or comparable platforms.
Ability to identify patterns, inconsistencies, trends, disparities, anomalies, and limitations and translate findings into conclusions and recommendations.
Ability to understand complex operational and organizational questions and independently determine appropriate data, measures, methodologies, and analytical approaches.
Ability to communicate complex data through reports, tables, charts, dashboards, visualizations, presentations, and plain-language narratives.
Ability to independently manage complex, high-priority, and time-sensitive data requests from extraction and cleaning through analysis, quality review, interpretation, and final presentation.
Strong supervisory, coaching, training, and staff-development skills, including developing Data Analysts’ technical and analytical competencies.
Ability to review analytical work and identify methodological, data-quality, calculation, interpretation, or presentation concerns.
Strong critical thinking, problem-solving, organizational, and attention-to-detail skills.
Ability to manage multiple priorities and short deadlines without compromising data accuracy, quality, or confidentiality.
Ability to collaborate across operational divisions, departments, agencies, information systems, and professional disciplines.
Ability to prepare and present information to executive leadership, the judiciary, government partners, service providers, researchers, and other stakeholders.
Knowledge of data privacy, confidentiality, data governance, and responsible handling of sensitive information.
Ability to exercise independent judgment and identify data findings, limitations, risks, or concerns requiring leadership attention.
Knowledge of courts, juvenile justice, criminal justice, government, human services, or other complex public-sector systems is preferred.

Job Summary

Leads and supports efforts to strengthen organizational performance, accountability, and data-informed decision-making.
Independently leads complex, time-sensitive data requests and oversees end-to-end data collection, extraction, organization, cleaning, validation, analysis, interpretation, and reporting to identify trends, monitor performance, evaluate outcomes, and inform recommendations.
Transforms complex data into actionable information through reports, data visualizations, performance measures, written analysis, and recommendations.
Uses independent judgment to determine data sources, analytical approaches, methodologies, and reporting strategies while ensuring accuracy and integrity of information for leadership and authorized stakeholders.
Supervises and develops Data Analysts, including assignment prioritization, deadline monitoring, product review, quality standards, and training/coaching in analysis, visualization, performance measurement, and interpretation.
Collaborates with JTDC, OCJ MIS, Adult Probation, other OCJ departments, County agencies, and external partners to improve data quality, reconcile information across systems, establish performance measures, support evaluation, and strengthen use of data for continuous improvement.
Supports ongoing development and improvement of data collection, reporting, quality assurance, and performance measurement processes as departmental capabilities evolve.

Location: Chicago, IL (onsite)
Salary: USD 109,309 per year
Experience: 3 years

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19d ago

Inventory Data Analyst

Jackson Family Wines Santa Rosa, CA

Santa Rosa, CA

19d ago

$70k - $90k/yr Full time Analytics Business Analytics Business Systems

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Job Description

Jackson Family Wines is seeking an Inventory Data Analyst to support the Supply Chain department with strong data stewardship and practical analytics. This onsite role in Santa Rosa, CA focuses on improving inventory visibility and reporting accuracy across inventory, production, purchasing, and logistics data. You will help operational teams make better decisions through reliable dashboards, trend analysis, and data quality monitoring.

What you’ll do

Build and maintain a working understanding of the wine supply chain, including harvesting, production, bottling, distribution, and sales processes.
Maintain and update inventory reporting tools, dashboards, and recurring reports that support Supply Chain and Operations teams.
Analyze inventory trends and surface risks, opportunities, and exceptions that require further investigation.
Create ad hoc reports, Power BI dashboards, and analyses to support inventory management and operational decision making.
Audit supply chain data across ERP systems, spreadsheets, and reporting platforms to identify and resolve discrepancies.
Monitor key supply chain data quality metrics and escalate unusual trends or integrity concerns.
Run routine validation checks to ensure inventory, production, purchasing, and shipment data is accurate and complete.
Support testing and validation of new reports, dashboards, system enhancements, and process changes.
Document reporting procedures, validation processes, and data definitions to promote consistency and knowledge sharing.
Collaborate cross functionally to resolve data issues and improve data accuracy.
Identify opportunities to improve reporting efficiency by leveraging automation and AI tools, while enhancing data quality.
Provide additional analysis and project support as needed, including using AI enabled tools to improve routine business analysis.

What you bring

Bachelor’s degree or 4+ years of supply chain, scheduling, or production/operations experience with increasing responsibility.
Experience with ERP and planning software applications.
Advanced proficiency in MS Office, with expert skills in Excel.
Strong attention to detail, with a passion for data accuracy and problem solving.
Innovative and strategic mindset, with strong problem solving and process improvement skills.