Mindlance
Key Responsibilities:
- Extract, clean, and analyze large datasets using SQL and Python.
- Automate data pipelines and ETL processes using AWS services like Lambda, S3, Redshift, and Glue.
- Create interactive reports and dashboards to visualize trends, KPIs, and business metrics.
- Work closely with stakeholders to understand data needs and translate them into technical requirements.
- Develop ad-hoc analyses to support operational and strategic decisions.
- Maintain documentation of data sources, transformations, and reporting logic.
- Identify data quality issues and work with engineering to resolve inconsistencies.
- Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
- 2+ years of experience in a Data Analyst or similar role.
- Strong proficiency in SQL for querying relational databases.
- Hands-on experience with Python for data wrangling, statistical analysis, and automation.
- Familiarity with AWS services (S3, Lambda, Redshift, Glue, etc.).
- Advanced knowledge of Microsoft Excel including pivot tables, VLOOKUP, and formulas.
- Ability to translate business problems into data-driven solutions.
- Strong verbal and written communication skills.
EEO: MindLance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.