Data Analyst — Entry -to -mid level with huge applicant pools. is next
About the position About the Role We are seeking a curious Data Analyst to join our team and help us make sense of our data. You will be the go -to person for reports, dashboards, and ad -hoc analysis. In this role, you will do more than just manage spreadsheets. You will write SQL queries to extract data, clean it for accuracy, and visualize trends that impact our bottom line. If you are meticulous, analytical, and love a good Pivot Table (but know when to use code instead), this role is for you. Responsibilities • Data Reporting: Design, build, and maintain automated dashboards using Tableau, PowerBI, or Looker. • Querying: Write complex SQL queries to pull specific datasets from our database for internal stakeholders. • Data Cleaning: Identify quality issues in data pipelines and work to clean and standardize datasets. • Trend Analysis: Monitor Key Performance Indicators (KPIs) and alert management to significant trends or anomalies. • Collaboration: Partner with Marketing, Sales, and Product teams to answer specific business questions with data evidence. • Ad -Hoc Analysis: Respond to urgent data requests and turn them around quickly with high accuracy Requirements • Experience: 1 -4 years of experience in data analysis or business intelligence. • SQL Skills: Strong proficiency in SQL (Select, Join, Group By) is required. • Visualization: Hands -on experience building dashboards in PowerBI, Tableau, or similar tools. • Excel Mastery: Advanced Excel skills (VLOOKUP, Index/Match, Pivot Tables) are a must. • Communication: Ability to explain complex data findings to non -technical team members clearly. • Detail Oriented: You double-check your numbers and take pride in data accuracy. Nice-to-haves • Languages: SQL, Python (basic knowledge is a plus) • Visualization: Tableau, PowerBI, Google Looker Studio • Spreadsheets: Excel, Google Sheets • Database: PostgreSQL, MySQL, Snowflake Benefits • Salary Range: $40,000 – $110,000 USD / year (Based on experience and location) • Remote Work: Flexible work environment. • Growth: Opportunity to learn Python/R and advanced Data Science techniques. • Health: Medical, dental, and vision insurance. • Time Off: Paid vacation and sick days. Apply tot his job