Finance Analytics

Finance Analytics Data Jobs

2 jobs found

1d ago

Finance Data Analyst

UW Credit Union Madison, WI

Madison, WI

1d ago

$86k+/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

UW Credit Union is looking for a Finance Data Analyst to help turn finance and business data into insights that support growth, innovation, and member-focused outcomes. This onsite role in Madison, WI combines advanced analytics and visualization with collaboration across business partners and finance operations.

At UW Credit Union, you will contribute to data-driven solutions through solution development, project coordination and business analysis, documentation, and ongoing improvement of reporting tools that support strategic priorities.

Location, Salary, and Experience

Location: Madison, WI (onsite)
Work schedule: Office work 3 days per week
Salary: USD 86,400 per year
Minimum experience: 2 years

Education

Bachelor’s degree in Information Systems, Computer Science, Data Science, business, or a related field, or equivalent work experience

Responsibilities

Use advanced data analysis and visualization tools, and integrate insights into business processes, including participation in building new frameworks and data-driven solutions
Work with complex datasets to identify trends and patterns and make data-driven recommendations
Use SQL with JOIN and aggregates; build basic data pipelines using dbt
Create complex visualizations in Tableau
Validate results using reasonability checks, comparisons to historical results and benchmarks, and end user validation processes established by the team
Document data structures, measures, metadata, assumptions, models, reports, analyses, and client-focused training materials as required
Provide peer review of colleagues’ coding, results, analyses, and other deliverables
Maintain and update existing reports and tools as strategic priorities, external environments, underlying software, data structures, or end-use workflows change
Collaborate with business partners to define problems and suggest initial data-driven solutions
Apply business domain understanding to translate business needs into impactful data approaches
Work with business units to understand data needs, refine Use Case criteria, identify data sources, and profile data for fit
Consult with analytics clients through oral and written presentations for meetings or leadership audiences
Develop and maintain knowledge of organizational structure, core leaders, decision makers, and relationships that affect client engagement efficiency and success
Forecast workload volume, establish priority guidelines, and negotiate timelines with partners to support demand
Contribute experience and insight through collaboration and lead knowledge-sharing sessions with junior analysts
Build relationships with domain peers to understand the business mechanics behind the data
Stay current on advancements in analytic technologies
Provide technical assistance to staff for business intelligence tools
Participate in new vendor evaluations and help ensure active usage of vendor-provided resources, including technical support, education, compliance, reporting, and user groups
Maintain professional rapport with vendor contacts to support progress on problem resolution and product enhancements
Perform other duties as assigned

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Science, business, or related field required, or equivalent work experience
2-3 years of data analysis or analytics experience in two or more of the following:
- Code development using SQL
- Performance measure development
- Organization, analysis, and modeling of multiple data sources
- Development of data visualizations, dashboards, KPIs, etc.
- Tableau development
2-3 years of hands-on database querying experience
Financial services industry experience preferred
Advanced verbal and written communication skills
Advanced presentation skills, including storytelling to drive action
Advanced interpersonal skills and ability to collaborate as part of a team
Ability to initiate and follow through on complex projects across short- and long-term durations
Advanced organization and time management skills
Advanced analytical, critical thinking, and problem-solving skills
Ability to work independently, taking responsibility for job development and training, researching and resolving questions, requesting leadership input, and keeping leadership informed
Advanced skills creating, designing, and developing interactive dashboards and visualizations
Ability to interpret business needs and translate them into actionable analytic deliverables
Must be able to work in a diverse, collaborative team environment
Must be self-driven, curious, and creative
Demonstrated attention to detail
Demonstrated ability to manage multiple tasks and meet deadlines

Technologies

SQL
dbt
Tableau

Benefits

21.5 days of annual time off (accrued per pay period)
2 weeks paid caregiver leave
2.5 weeks paid new child parental leave
2 days paid volunteer time
10 paid holidays (including your birthday)
401k company match of up to 5%, plus approximately 4% discretionary match
Variable bonus reward
Competitive Medical, Dental, and Vision plans, including domestic partner eligibility
Employee Assistance Program

Work Authorization and Relocation

This position requires you to work onsite in Madison, WI from the office 3 days per week
No relocation assistance will be provided
All employees must possess valid work authorization to work for UWCU on the date of hire
UWCU does not provide immigration sponsorship or support for employment authorization, including H-1B, F-1 OPT, TN, or other visa categories

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4d ago

Senior Data Analytics Engineer

ASSA ABLOY Phoenix, AZ

Phoenix, AZ

4d ago

Full time Senior Analysis Services Azure Data Factory

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Job Description

ASSA ABLOY is hiring a Senior Data Analytics Engineer to build and operate governed analytics foundations that help Sales and Finance make better decisions on revenue drivers. This role expands quickly in scope: within the first year, you will extend certified datasets, standardized metrics, and a shared semantic layer to supply chain, manufacturing, and quality analytics in an AI-enabled environment, governed under the Group Responsible AI Policy.

What you’ll deliver

Partner with Sales and Finance to create a differentiated sales analytics product focused on revenue drivers such as pricing/discounting, mix, customer or segment performance, and channel.
Produce executive-ready insight narratives and repeatable decision frameworks, including driver trees, leading indicators, and KPI hierarchies.
Integrate and reconcile data beyond ERP by bringing in sources such as customer POS feeds, CRM, external or industry signals, customer master enrichment, and spreadsheets into governed analytical datasets.
As the foundation matures, extend the same certified-dataset and semantic-layer approach to additional functional domains in a sequence and priority plan developed with IT and business leadership.
Own domain analytics coverage across:
- Supply Chain: inventory, fulfillment, and demand-planning analytics sourced from JDE and related systems.
- Manufacturing: production throughput, downtime, and cost or efficiency analytics.
- Quality: defect and scrap trends, supplier quality performance, and corrective-action tracking using primarily SQL Server-based operational data plus other systems.

How the analytics ecosystem will work

Design and own curated analytics datasets and reusable dimensional models that support a single source of truth across functional domains.
Establish and enforce consistent KPI definitions using a metrics and semantic layer approach, so metrics are defined once and reused everywhere.
Implement testing, documentation, and data-quality practices to support stakeholder trust and adoption.
Reduce ad-hoc reporting by delivering certified datasets, reusable templates, and clear consumption patterns that enable business self-service safely.
Provide training and enablement through office hours, best-practice templates, and “how to use” documentation, supported by analytics community rituals.
Contribute to an Analytics COE operating model centered on standards, adoption, and scalable enablement rather than report-factory or help-desk patterns.

Engineering practices and AI-enabled execution

Partner with IT leadership to shape and execute a 12 to 18-month roadmap for analytics capabilities across the in-scope domains, including platform patterns, data products, priority areas, and adoption metrics.
Implement analytics CI/CD patterns such as version control, release discipline, and peer review to scale reliably.
Apply AI-assisted techniques (for example anomaly detection, driver analysis, AI-assisted query or code generation) to accelerate time-to-insight and adoption where it improves outcomes.
Work within an AI-enabled analytics environment using enterprise-grade AI tooling already in place across EMG IT, aligned to the Group Responsible AI Policy (accountability, fairness, reliability, transparency).

What you bring

8–10+ years in analytics/BI/data roles with evidence of business impact and strong cross-functional collaboration.
Required: experience directly managing or supervising technical staff (this role has a formal direct report).
Expert SQL and strong data modeling (facts/dimensions, performance-aware).
Proven ability to create reusable analytics assets (certified datasets, metric definitions, semantic consistency) that generalize across domains.
Strong business acumen and the ability to proactively propose analyses.
Exposure to supply chain, manufacturing, or quality analytics is a plus; Sales & Finance depth is the priority, with additional domains learned as scope expands.
Python is a plus for automation, scripting, and analysis.
AI-assisted techniques experience is a plus (an ability and willingness to learn is sufficient; deep AI/ML expertise is not required).
Proficiency in MS Office.
Strong relational database knowledge with hands-on experience in MS SQL Server and dimensional/star-schema modeling, since most source data across domains resides in SQL systems.
Preferred: experience with Power BI and Analysis Services development (measures, semantic models, DAX).
Preferred: experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake) and/or Azure Data Factory for ingestion and transformation.
Knowledge of SSIS, stored procedures, triggers, and performance tuning.
Strong Software Development Lifecycle knowledge; SCRUM experience and certification is a plus.
Ability for business and safety reasons to write reports and correspondence in English, and effectively present information and respond to questions in English to managers, clients, customers, technicians, and assemblers.

Location: Phoenix, AZ (onsite)

Physical demands and work environment

Frequently required to sit, stand, walk, stoop, and kneel; use hands and reach with hands and arms; communicate clearly.
May be frequently required to lift up to 10 pounds.
Work environment may be moderate to loud; occasional proximity to fumes or airborne particles and toxic or caustic chemicals; may require working near moving mechanical parts.

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