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3 jobs found

1d ago

Senior Staff, Business Data Analyst

Intuit Frisco, TX

Frisco, TX

1d ago

$184k - $249k/yr Full time Senior Business Analytics Business Intelligence

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Job Description

Intuit is looking for a Senior Staff Business Data Analyst to help shape the reporting, analytical, and AI-ready layer built on sales data. This role is an organizational-scope, senior individual contributor position, responsible for taking metrics from schema design through to the numbers sales leaders use every week.

What you’ll do

Design and build dashboards and reporting views that the sales organization relies on, including pipeline, coverage, win rate, forecast attainment, and partner performance, with an emphasis on coherence and long-term maintainability.
Set clear guidance on what becomes a governed data asset, what remains ad hoc, and what should be retired over time.
Build the layer between certified base tables and end users by creating reusable views, defining grains, establishing conformed dimensions, and implementing metric logic consistently to prevent conflicting answers across dashboards.
Partner with Data Operations to work through the underlying model, including account, opportunity, contact, activity, contact role, campaign membership, account team, and lead.
Contribute to and defend canonical KPI definitions, including base query logic, grain, exclusions, and edge cases, and be able to explain contested calculations down to the “how” and “why.”
Perform analytics for coverage models, buying-group completeness, funnel diagnostics, and territory and channel performance for both direct and partner-led motions.
Establish patterns for others to follow, review analysts’ models, mentor teammates, and document standards.
Own the end-to-end span from schema design through to the specific sales metrics consumed on a Monday morning.

Requirements

4+ years in business intelligence, analytics engineering, or data analysis, including experience as a senior technical voice on ambiguous, cross-team problems.
Expert SQL, with the ability to build complex queries and structures that handle high-volume datasets and cross–line of business schemas.
Strong analytical data modeling skills, including dimensional design, grain discipline, conformed dimensions, slowly changing dimensions, and judgment around when to denormalize.
Hands-on experience with a modern BI platform such as Tableau, Power BI, Looker, or an equivalent tool, including semantic layer design, extract and performance tuning, and governance of published assets.
Direct experience with CRM data, with Salesforce strongly preferred, including knowledge of standard objects and the failure modes that can occur when joins are done without care.
Experience building operationally relied-upon reporting, including freshness expectations, breakage handling, change communication, and deprecation.
Ability to work with sales leaders to translate unclear questions into defensible metrics, with the capability to push back when a requested metric cannot answer the underlying question.

Technologies

SQL
Tableau
Power BI
Looker
Salesforce
Databricks
Snowflake
Python

Compensation and location

Location: Frisco, TX (onsite)
Salary: USD 184,000 - 249,000 per year
Minimum experience: 4 years
Base pay range note: The expected base pay range for this position is Mountain View $184,000 - $249,000

Benefits

Intuit provides a competitive compensation package, including strong pay for performance rewards.
This position may be eligible for a cash bonus, equity rewards, and benefits, in accordance with applicable plans and programs.
Pay offered is based on job-related knowledge, skills, experience, and work location.

Preferred

Experience supporting sales, revenue, or partner/channel operations.
Experience with partner or channel-led models, including reporting partner relationships as first-class entities rather than treating them as an afterthought in a direct-sales schema.
Cloud warehouse or datalake depth (Databricks, Snowflake, or equivalent), plus transformation frameworks, orchestration, and version-controlled analytics code.
Python (or equivalent) for analysis beyond what SQL covers well.
Experience maintaining continuous reporting through a major system migration while underlying sources change.
Familiarity with conversation-intelligence and sales-engagement data, including data-quality realities of seller-created records.

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4d ago

QuickSight Analytics Engineer

Deloitte Washington, DC

Washington, DC

4d ago

$84k - $141k/yr Full time Amazon Quicksight Analytics Business Intelligence

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Job Description

Deloitte is seeking a Data Engineer II to design, build, deploy, and maintain reporting and dashboard solutions powered by Amazon QuickSight. The role combines hands-on QuickSight delivery with Python capabilities across the BI reporting lifecycle.

Role Scope

In this position, you will analyze client reporting and data environments, translate requirements into scalable analytics assets, and develop interactive dashboards and visualizations. You will also use Python to support data preparation and reporting automation, while contributing to the integration and modeling of data from multiple sources for reliable analytics datasets.

Responsibilities

Review the client’s existing data environment, reporting processes, and Python code to understand current capabilities, constraints, and improvement opportunities.
Collect and translate business and technical requirements into dashboards, reports, data models, and reporting solutions designed for scalability.
Design, build, and implement interactive dashboards and visualizations using Amazon QuickSight.
Create reporting logic including calculations, metrics, filters, parameters, and business rules to support accurate, actionable insights.
Use Python to analyze client data, evaluate existing code, support data preparation, and automate or enhance reporting processes where appropriate.
Integrate, transform, and model data from multiple sources to build trustworthy datasets for analytics and reporting.
Support the design, deployment, and maintenance of data-driven reporting and dashboard solutions that enable informed client decision-making.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
3+ years of Python experience, including the ability to analyze the client environment, review and understand Python code, support data preparation, and develop automation or reporting enhancements.
1+ year designing, developing, and implementing interactive dashboards and visualizations using Amazon QuickSight.
1+ year gathering, documenting, and translating business and technical requirements into dashboards, reports, data models, and scalable analytics solutions.
Ability to travel 10%, on average, based on work performed and client needs and industries/sectors served.
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.

Technologies

Amazon QuickSight
Python

Preferred Qualifications

Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
Experience developing reporting logic, calculated fields, metrics, filters, parameters, controls, and business rules for accurate and actionable reporting.
Experience integrating, transforming, and modeling data from multiple sources to create reliable, reusable datasets for analytics and reporting.
Ability to assess existing reporting processes and technical solutions, identify gaps and constraints, and recommend practical improvements.
Willingness and ability to support substantial build and implementation work, followed by ongoing operations, maintenance, and enhancement activities.

Compensation and Location

Location: Washington, DC (onsite). Salary: USD 84,400 - 140,600 per yearly.

Maryland note: For individuals assigned and/or hired to work in Maryland, a reasonable estimate of the current range is $84,400 to $140,600.

Incentive Program

You may also be eligible to participate in a discretionary annual incentive program. Eligibility and any award, if any, depend on various factors including individual and organizational performance, subject to the rules governing the program.

Skills for Success

Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to provide clear guidance to others.

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5d ago

Data Analyst II-Business Analyst Focus

Education Analytics Madison, WI

Madison, WI

5d ago

$72k - $84k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Education Analytics is looking for a Data Analyst II with a business analysis focus to help connect partner and user needs to data, analytics, and technical solutions. In this onsite role in Madison, WI, you will translate questions into clear data definitions and analytic requirements while supporting delivery of reporting, dashboards, and data products.

You will collaborate across education partners, analysts, engineers, and other technical teams throughout the analytic lifecycle, from early discovery to final delivery.

Responsibilities

Partner with education stakeholders and technical teams throughout the analytics process.
Depending on project needs, conduct partner discovery.
Define and document analytic requirements.
Map source data to reporting concepts.
Investigate data quality.
Develop technical specifications.
Mock up reports or dashboards.
Support projects from initial problem definition through delivery.

Requirements

Experience converting broad or ambiguous requests into clear questions, data definitions, analytic requirements, and technical specifications, and communicating across technical and non-technical audiences.
Experience investigating complex data sources, assessing data quality, and determining how data should be mapped, combined, transformed, and interpreted for reporting and analytics.
Working proficiency with SQL, including the ability to write, interpret, and debug complex queries in a cloud data warehouse environment such as Snowflake.
Familiarity with education data standards such as Ed-Fi, or the ability to learn and apply complex data standards, definitions, and reporting rules.
Experience with business intelligence, reporting, or data visualization tools, including mockup work; Apache Superset and Figma experience is preferred.
Experience using a statistical programming language to investigate, process, or validate data, with R or Python preferred.
Experience using Git and GitHub for version control and collaboration.
Comfort working in an evolving technical environment, including adopting new tools such as AI-assisted technologies to improve efficiency and analytical quality.
Strong organizational and time-management skills, including prioritizing multiple responsibilities in a fast-paced environment with limited direction.

Technology Stack

SQL, Snowflake, Ed-Fi
Apache Superset, Figma
R, Python
Git, GitHub

Qualifications

Minimum bachelor’s degree or equivalent relevant experience in Statistics, Economics, Computer Science, Mathematics, Data Science, Information Systems, Public Policy, Education, or a related field.
At least one year of relevant professional experience, including progressively independent work with data, analytics, technical requirements, or data products.
Familiarity with K–12 education data, state or district reporting, or education data standards is helpful but not required.

Compensation and Benefits

Base salary range: $72,000–$84,000 per year, depending on experience and qualifications.
EA may consider placement at Data Analyst I or Senior Data Analyst level, with compensation adjusted accordingly.
401(k): 12% non-elective contribution each payroll once eligible per plan rules.
401(k): Up to a 3% salary deferral match each payroll by EA once eligible and contributing, per plan rules.
Vacation: 26.5 days paid vacation annually (accrued at 17.67 hours per month).
Sick time: 40 hours paid sick time provided on date of hire plus 8 hours accrued monthly.
Holidays: 9 paid holidays, including EA-designated holidays or the option to swap holidays.
Insurance: 85% of health insurance premium paid by EA; 50% of dental premiums paid by EA.
Paid parental leave: after one year of employment and if eligibility requirements are met.
Employer-Paid Short-Term Disability and Long-Term Disability.
Employer-Paid Group Life Insurance: coverage equal to 2x your annual salary, up to $200,000.
EAP: Employee Assistance Program with confidential support and resources for you and eligible family members.

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Business Intelligence Tools Data Jobs

Senior Staff, Business Data Analyst

QuickSight Analytics Engineer

Data Analyst II-Business Analyst Focus

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