Data Analysr

Junior Data Analyst • *Location:** United States • *Employment Type:** Full-time • *Job Summary** We are looking for a detail-oriented • *Junior Data Analyst** to join our team in • *[City, State]** . You will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will work closely with business units to identify trends, create visualizations, and help leadership make informed, data-driven decisions. • *Key Responsibilities** • **Data Collection:** Acquire data from primary or secondary data sources and maintain databases/data systems. • **Reporting & Visualization:** Design, build, and maintain automated dashboards and reports using • *Tableau, Power BI, or Looker** . • **Data Cleaning:** Identify, analyze, and interpret trends or patterns in complex data sets; scrub and "clean" data to ensure high-quality analysis. • **Business Insights:** Collaborate with stakeholders (Marketing, Product, Finance) to define key performance indicators (KPIs) and track business growth. • **Ad-hoc Analysis:** Execute quick-turnaround data requests to support strategic business initiatives. • **Documentation:** Document data definitions, logic, and processes to ensure scalability and team alignment. • *Required Qualifications** • **Education:** Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a related field. • **SQL:** Strong ability to write and optimize SQL queries (joins, subqueries, aggregations). • **Excel:** Advanced Excel skills (Pivot Tables, VLOOKUP/XLOOKUP, macros, and complex formulas). • **Data Visualization:** Hands-on experience creating impactful charts and dashboards. • **Analytical Thinking:** Strong problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail. • **Communication:** Ability to translate complex data findings into "plain English" for non-technical stakeholders. • *Preferred Qualifications** • Experience with • *Python** or • *R** for data manipulation and statistical analysis (Pandas, NumPy). • Familiarity with Cloud Data Warehouses like • *Snowflake, BigQuery, or Redshift** . • Knowledge of statistical methodologies (A/B testing, regression analysis). • Prior experience or internship in a business analysis or data-related role. • *Benefits & Growth** • **Mentorship:** Opportunities to learn from Senior Analysts and Data Scientists. • **Professional Development:** Tuition or certification reimbursement (e.g., Google Data Analytics, Tableau Desktop Specialist). • **Comprehensive Benefits:** Health, dental, vision, 401(k) matching, and paid parental leave.