Business Analyst

We are looking for a Data Analyst / Business Intelligence Specialist to join our fast-growing team. In this role, you will be responsible for utilizing data-driven insights to help our clients and internal teams make informed decisions, track business performance, and drive actions based on data alerts. You will be working in a fast-paced startup environment, collaborating closely with engineers, data scientists, and business leaders to uncover the "what" and "why" behind data trends and metrics. Key Responsibilities : - Analyze large, complex datasets to identify trends, anomalies, and insights that affect business performance and KPIs. - Collaborate with stakeholders to define business questions and translate them into actionable data queries and reports. - Create and maintain dashboards and reports using Tableau, Sisense, or similar BI tools to visualize and communicate insights. - Develop and maintain automated reporting systems, ensuring accurate, timely, and accessible data for decision-making. - Build interactive, user-friendly dashboards that help business users monitor their KPIs and understand underlying trends in the data. - Work with product, sales, and marketing teams to understand data requirements and create relevant BI solutions - Write complex SQL queries to extract, manipulate, and analyze data from relational databases. - Optimize queries for performance and scalability, ensuring fast, efficient access to data. - Clean and preprocess raw data from various sources to ensure high-quality, accurate data for analysis. - Manage and maintain data pipelines, collaborating with engineers to ensure data is properly collected, stored, and integrated. Skills & Qualifications : - Strong working knowledge of SQL for querying and manipulating large datasets in relational databases (PostgreSQL, MySQL, etc. - Ability to write complex queries and optimize for performance. - Hands-on experience in creating interactive dashboards and reports using BI tools like Tableau, Sisense, or similar visualization platforms. - Experience in data visualization best practices is key. - Experience with Python or R for statistical analysis, data cleaning, and automating data workflows. - Familiarity with libraries such as Pandas, NumPy, and Matplotlib is a plus. - At least 2 years of hands-on analytics experience in the programmatic media advertising or ad tech industry. - Familiarity with advertising platforms, digital marketing KPIs, and performance metrics. - Solid understanding of BI tools, dashboarding, and reporting. - Experience with Sisense, Power BI, or similar BI tools is a plus. - Understanding of how to work with business stakeholders to identify data needs and deliver effective reporting solutions (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/23/2024