🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
What role will you play in the teamYou will serve as a foundational pillar within our analytics and business intelligence unit, transforming complex multidimensional datasets into intuitive, interactive dashboards and visual stories. Your primary focus will be empowering executive leadership and operational managers to track key performance indicators, monitor real-time business metrics, and make data-driven strategic decisions based on crystal-clear visual representations.What you will doYou will design, develop, and maintain dynamic interactive dashboards utilizing Power BI and Tableau. Your daily responsibilities will include connecting to diverse data sources via SQL and ETL pipelines, validating data accuracy, structuring data models, writing DAX queries, and working alongside business stakeholders to gather dashboard requirements and translate them into functional visual artifacts.Key responsibilityDesign, develop, and deploy comprehensive interactive dashboards and visual reports using industry-standard tools like Tableau, Power BI, and Google Data Studio.Write advanced SQL queries, stored procedures, and data transformation scripts to extract, cleanse, and aggregate data from MySQL, PostgreSQL, and MongoDB databases.Collaborate with data engineering teams to build and maintain robust ETL pipelines utilizing Talend and Apache Nifi for automated data refreshing.Perform rigorous data validation and exploratory statistical data analysis using SPSS and SAS to ensure absolute accuracy of enterprise reporting metrics.Conduct training sessions and workshops for end-users and business stakeholders on how to effectively navigate and extract insights from deployed dashboards.Optimize dashboard performance, manage user access permissions, and maintain version control over all deployed reporting assets across the organization.Required Qualification and SkillsBachelor's degree in Information Technology, Computer Science, Statistics, Economics, or a related quantitative discipline with a strong academic background.Demonstrated expertise in utilizing data visualization tools such as Power BI, Tableau, and Google Data Studio to present complex data insights.Proficiency in database management, writing complex SQL queries, and optimizing data retrieval across MySQL, PostgreSQL, and relational databases.Familiarity with ETL tools and data integration frameworks like Talend, Informatica, and Apache Nifi for seamless data pipeline construction.Basic knowledge of statistical analysis software and packages including SPSS, SAS, and Minitab for quantitative data evaluation and reporting.Exceptional verbal and written communication skills with the ability to present complex technical findings to non-technical business stakeholders effectively.Benefits IncludedHighly competitive annual salary structure designed to attract top analytical talent with performance-linked appraisals and annual incentive bonuses.Comprehensive medical and health insurance coverage providing cashless hospitalization benefits for employees and their dependent family members.Flexible annual leave policy including earned leaves, casual leaves, mental health days, and maternity/paternity leave provisions.Dedicated annual learning stipend for attending specialized data analytics conferences, workshops, and acquiring advanced industry certifications.State-of-the-art office infrastructure featuring ergonomic workstations, high-performance dual monitors, breakout collaboration zones, and complimentary snacks.Dynamic, inclusive, and growth-oriented corporate culture promoting regular cross-functional networking events and career advancement pathways.A Day in the LifeYou will kick off your morning by reviewing automated data refresh logs in Power BI to ensure all enterprise dashboards updated successfully overnight. Next, you will meet with the sales operations team to gather new requirements for a regional performance tracker. The afternoon will be spent writing complex SQL queries to pull underlying metrics, designing visual charts in Tableau, and fine-tuning color palettes for maximum executive readability. .