Key ResponsibilitiesCollect, clean, and analyze structured and unstructured datasets from multiple sources (databases, cloud storage, APIs, spreadsheets)Design and build dashboards, reports, and visualizations using BI tools (e. g.
, Looker, Tableau, Power BI, Data Studio)Develop and maintain SQL queries, scripts, and pipelines to extract and transform data for analytics use casesPerform exploratory data analysis (EDA), descriptive statistics, and trend analysis to identify business patterns and opportunitiesCollaborate with stakeholders across product, business, and engineering teams to translate requirements into data insightsSupport KPI definition, monitoring, and reporting to track business performanceEnsure data integrity, accuracy, and governance across reports and dashboardsRecommend improvements in data collection methods, data quality, and reporting automationContribute to predictive and prescriptive analytics initiatives by preparing data and assisting data science teamsRequired QualificationsBachelor's degree in Data Analytics, Statistics, Computer Science, Engineering, or related field 2-5 years of professional experience in data analytics or business intelligenceStrong proficiency in SQL for querying and data manipulationExperience with data visualization tools (Looker, Tableau, Power BI, or Data Studio)Proficiency in Excel / Google Sheets for quick analysis and reportingStrong understanding of data modeling, KPIs, and metrics trackingExperience with cloud platforms (Google Cloud, AWS, or Azure) is a plusFamiliarity with Python/R for data analysis preferredExcellent problem-solving, analytical thinking, and communication skills
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.
