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Sr. Data Analyst - Data Management
About the position
As a Senior Data Analyst – Data Management, you will play a pivotal role in driving business improvements and strategic decisions by transforming complex data into actionable insights. You will be responsible for developing and enhancing data reporting, dashboards, and KPIs that support the SF2-US-F-5 Data Management function. This role demands strong analytical skills, attention to data quality, and the ability to collaborate across teams to deliver impactful business outcomes.
Responsibilities
- Lead the end-to-end development, deployment, and continuous improvement of executive-level reports, dashboards, and data visualizations using BI tools like Tableau, Qlik, and SAS to enable data-driven decision-making.
- Drive comprehensive data analysis across multiple structured and unstructured sources, applying advanced techniques to uncover actionable insights and business trends that support strategic goals.
- Own the data quality lifecycle by proactively identifying, investigating, and resolving data anomalies and inconsistencies based on Data Governance standards, ensuring data completeness, accuracy, timeliness, and integrity.
- Act as the primary liaison for executive data requests, delivering accurate and insightful analyses with clear communication to senior leadership and stakeholders.
- Collaborate closely with business leaders and cross-functional teams to define, create, and refine KPIs, metrics, and data models that align with evolving business priorities.
- Design and maintain scalable reporting frameworks and analytical documentation to facilitate transparency, reproducibility, and business understanding of data insights.
- Provide expert second-level support for BI platforms, including triaging technical defects, performance bottlenecks, connectivity issues, and coordinating with vendors and IT teams to ensure seamless BI operations.
- Champion data governance initiatives by managing metadata repositories, business glossaries, and data quality monitoring tools, driving organizational adherence to data policies and standards.
- Identify opportunities for process automation and optimization within data management and reporting workflows to enhance efficiency and reduce manual effort.
Requirements
- Bachelor’s degree or equivalent experience; degrees in Data Analytics, Computer Science, Information Systems, or related fields preferred.
- Minimum of 4 years of professional experience in a corporate environment working with data and analytics, including:
- Performing roles such as reporting specialist, data analyst, or data scientist.
- Developing reports and dashboards using BI tools like Tableau or Qlik.
- Providing analytical insights based on reporting and data analysis.
- Writing and optimizing SQL queries, preferably with MS SQL or PostgreSQL.
- Conducting data analysis using tools such as R, SAS, RapidMiner, or similar.
- Participating actively as a member of project teams, preferably within agile frameworks.
- At least 2 years managing project aspects using agile methodologies.
- Applying data preparation skills with tools such as Tableau Prep or Alteryx.
- Experience with data governance and management processes and tools, such as Informatica EDC, Axon, IDQ, or equivalent solutions
Nice-to-haves
- Relevant certifications are a plus.
- 3+ years of experience in the Financial Services or Automotive industry.
- 2+ years of data exploration and mining using programming languages or tools like R, Python, or equivalents.
- Additional experience in data governance tools and processes is highly valued.
Benefits
- Medical, Dental, and Vision insurance
- 401(k) with Company match and Retirement Income Account
- Employee vehicle program
- Bonus eligibility
- Paid Parental Leave
- Generous PTO and Company paid holidays
- Voluntary Benefits to fit your needs