Senior Data Analyst jobs in United States
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Vsolutions Technologies · 16 hours ago

Senior Data Analyst

Vsolutions Technologies is seeking an experienced Senior Data Analyst to provide analytics support across various business domains. The role involves developing data infrastructure proficiency, leading analytics projects, and delivering data-driven insights to stakeholders in operations, product, and finance.

Information Technology & Services

Responsibilities

Lead Analytics Projects: Independently gather requirements, identify relevant data, and write sophisticated SQL scripts to build data sets that enable you to generate insights through visualizations and presentations
Provide Analytics Support Across Business Functions: Deliver actionable insights for lifecycle marketing, business development, operations, product, and finance to drive strategic initiatives
Analyze Customer Transaction Behavior: Support analytics on customer transaction behavior, particularly for new product features and user adoption, to identify patterns and trends that align with business goals
Create Visualizations and Dashboards: Design impactful visualizations and automated dashboards to reveal key trends and measure the effectiveness of various initiatives, from marketing to product launches
Investigate Data Anomalies: Proactively investigate data anomalies and idiosyncrasies, uncovering underlying issues and opportunities that haven’t been explicitly requested
Exceed Partner Needs: Leverage your knowledge of the business to anticipate and exceed partner needs, using initial requirements as a foundation and building upon them with novel insights
Collaborate Across Teams: Work with internal and external stakeholders to define and deliver data, reports, visualizations, and dashboards critical to decision-making
Ensure Data Quality: Maintain high data quality through rigorous documentation and quality assurance processes
Drive Projects with Minimal Guidance: Take ownership and accountability for meeting contribution goals, consistently pushing projects forward independently

Qualification

Advanced SQL proficiencyData visualization toolsData analysis experienceStatistical methodsPythonRFlexibility in prioritizing tasksCommunication skillsProblem-solving skillsRelationship-building skills

Required

Bachelor's Degree in engineering, economics, physics, or a related quantitative discipline
4+ years of data analytics experience, ideally within a financial services or business analytics context
Advanced SQL proficiency, including expertise with window functions, common table expressions (CTEs), performance tuning, and query optimization for large data sets
Proven experience working with cross-functional data in marketing, product, finance, or operations
Experience with data visualization and dashboard creation using tools such as Micro Strategy, Tableau, Power BI, Looker, Quick Sight, or Excel
Familiarity with statistical methods and experience using R or Python for in-depth data analysis
Proactive Mindset: A natural problem-solver who identifies and investigates data inconsistencies or patterns, uncovering insights that drive business impact
Strong communication skills, with the ability to explain complex analyses to both technical and non-technical stakeholders
Excellent organizational and problem-solving skills, capable of transitioning from detailed analysis to high-level strategic insights
Ability to influence and drive alignment through constructive dialogue without formal authority
Flexibility in prioritizing tasks, selecting appropriate tools, and managing multiple projects with competing priorities
Strong relationship-building skills and a desire to collaborate in a high-energy, team-oriented environment

Preferred

Financial Transaction Data Analysis: Experience in analyzing and mining financial transaction data for insights, with an understanding of payment technologies, payment types, credit/debit card networks, and purchase authorization/settlement processes
Data Science and Modeling: Experience in building and deploying predictive models (regression, classification, clustering, time series forecasting) using Python, R, or similar tools
Machine Learning: Familiarity with machine learning algorithms and their application in deriving insights from large datasets
Cross-Functional Analytics Expertise: Experience working on projects across multiple business areas such as marketing, product, finance, and operations translating data into actionable business insights

Company

Vsolutions Technologies

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Accelerate your digital journey with Vsolutions Technologies. As your trusted partner, we offer top-tier IT talent and superior software solutions.

Funding

Current Stage
Early Stage
Company data provided by crunchbase