Senior Data Analyst transforming complex datasets into insights for secure software development. Building analytics infrastructure and collaborating with teams to drive data - informed decisions.
About the role
- Maintain analytics systems that simplify complex data problems into actionable insights
- Translate business requirements into technical data queries and reporting solutions
- Engage as a consulting partner for the lifecycle of data-driven projects, decision support, and maintain strong relationships across departments
- Create and maintain interactive data visualizations using multiple data sources, helping decision-makers understand key metrics and KPIs
- Document processes, methodologies, and data definitions to ensure data integrity and consistency
- Contribute to improving data quality, governance, and reporting standards
Requirements
- Bachelor's degree in business administration, computer science, information systems, or a related academic field, or 4+ years of equivalent work experience supporting Data Warehouse analysis and requirements
- Minimum 2 years of proven work experience in a highly analytical environment performing complex business analyses, generating data-driven insights, and presenting findings to leadership and other stakeholders
- Minimum 2 years of experience using data visualization tools (e.g. Sisense, JasperSoft, ThoughtSpot, PowerBI, Tableau)
- Experience working with large-scale/complex datasets and cloud data platforms (Snowflake, BigQuery, Redshift)
- Proficiency in SQL with the ability to learn and use additional analytics tools as needed
- Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities
- Ability to extract, cleanse, merge, and analyze data from varied internal and external sources
- Strong presentation and communication skills, and proficiency in MS Word and PowerPoint
- Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends, and/or process improvements
- Ability to create clear, concise graphs, charts, reports, and presentations summarizing analytical results and justifying suggestions
- Preferred: Professional experience and academic training in advanced analytics
- Preferred: Experience in Data Mining using Python, R, SAS, or other analytics software, and familiarity with the following libraries: pandas, scikit-learn, statsmodels
- Preferred: Finance or Payments industry background
Benefits
- Competitive salary
- Paid parental leave
- Generous paid time off
- Medical, dental, vision, FSA, Life/AD&D, long and short term disability
- 401K matching
- Employee referral program
- Reasonable accommodation for individuals with disabilities (contact [email protected])
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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