Data Analyst

*Job description:* *Data Analyst Role Responsibilities* * Collect, clean, validate, and analyze large datasets from multiple internal and external data sources. * Develop and maintain dashboards, reports, and visualizations to support business operations and strategic decision-making. * Analyze business performance, customer behavior, operational metrics, and product performance to identify trends, opportunities, and risks. * Partner with business stakeholders, product managers, engineering teams, finance, marketing, and operations to translate business questions into data-driven insights. * Design and execute ad hoc analyses to support business initiatives and executive decision-making. * Create recurring reports and automate reporting processes to improve operational efficiency. * Develop SQL queries to extract, transform, and analyze structured data from relational databases. * Validate data accuracy, identify anomalies, and ensure consistency across reporting systems. * Define, monitor, and maintain key performance indicators (KPIs) and business metrics. * Build interactive dashboards using business intelligence tools to communicate insights effectively. * Perform exploratory data analysis to identify patterns, correlations, and business opportunities. * Support A/B testing, experimentation, and performance measurement initiatives. * Collaborate with data engineering teams to improve data pipelines, data models, and reporting infrastructure. * Document business definitions, reporting logic, metric calculations, and analytical methodologies. * Present findings and recommendations to technical and non-technical stakeholders through clear visualizations and presentations. * Identify opportunities to improve business processes using data and analytics. * Ensure compliance with organizational data governance, security, and privacy standards. * Stay current with emerging analytics tools, technologies, and industry best practices. *Requirements* * Bachelor's or Master's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Engineering, or a related quantitative field. * 3–5 years of professional experience as a data analyst or in a similar analytical role. * Advanced proficiency in SQL, including joins, window functions, common table expressions (CTEs), aggregations, and query optimization. * Strong experience with Microsoft Excel, including advanced formulas, PivotTables, Power Query, and data analysis techniques. * Hands-on experience with business intelligence and data visualization tools such as Tableau, Power BI, Looker, or similar platforms. * Experience analyzing large datasets and transforming raw data into actionable business insights. * Strong understanding of data modeling, relational databases, and data warehousing concepts. * Experience writing complex analytical queries and developing automated reporting solutions. * Proficiency in Python or R for data analysis, automation, and statistical analysis. * Experience with data cleaning, validation, profiling, and quality assurance. * Strong understanding of descriptive statistics, hypothesis testing, trend analysis, and business performance measurement. * Ability to interpret business requirements and translate them into analytical solutions. * Experience creating executive dashboards, scorecards, and KPI reporting. * Strong analytical thinking and problem-solving abilities. * Excellent communication and presentation skills with the ability to explain technical findings to non-technical audiences. * Experience working in Agile or cross-functional business environments. * Ability to manage multiple priorities while meeting project deadlines. *Preferred Qualifications* * Master's degree in business analytics, data science, statistics, computer science, or a related discipline. * Experience with cloud data platforms such as Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics, or Databricks. * Experience working with ETL/ELT processes and data integration tools. * Familiarity with dbt, Apache Airflow, or similar data transformation and orchestration tools. * Experience using cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. * Knowledge of statistical modeling, predictive analytics, and forecasting techniques. * Experience supporting A/B testing, experimentation frameworks, and causal analysis. * Familiarity with data governance, metadata management, and data quality frameworks. * Experience working with APIs and integrating external data sources. * Knowledge of version control systems such as Git. * Experience with scripting and automation using Python, Pandas, NumPy, or Jupyter Notebooks. * Familiarity with machine learning concepts and model evaluation techniques. * Experience working in SaaS, fintech, healthcare, e-commerce, enterprise software, or high-growth technology organizations. * Professional certifications in Tableau, Microsoft Power BI, Microsoft Azure Data, AWS Analytics, Google Cloud Data Analytics, or equivalent certifications. * Demonstrated ability to influence business decisions through data-driven recommendations. *Benefits:* * 401(k) * Dental insurance * Health insurance * Visa sponsorship Work Location: In person Pay: $84,196.43 - $90,237.04 per year Benefits: * 401(k) 5% Match * Dental insurance * Flextime * Paid time off * Professional development assistance Work Location: In person