About the job
About You
As a data-driven expert, you have a passion for transforming intricate data into insightful, actionable narratives that influence business strategies. You excel in client-facing scenarios, navigate through uncertainty with ease, and take the initiative in converting business challenges into valuable metrics, comprehensive dashboards, and informed recommendations. Your commitment to data integrity, storytelling, and collaboration with both technical and non-technical stakeholders is evident.
Your Expertise at Applaudo Includes:
- A Bachelor’s Degree or higher in Computer Science, Computer Engineering, Data Analytics, or a related discipline.
- 4-5 years of practical experience in data analysis, reporting, and business intelligence roles.
- Proficient in Power BI for creating visualizations, dashboard design, and reporting.
- Skilled in Python for data manipulation and analytical tasks.
- Advanced capabilities in SQL, including complex queries, stored procedures, and performance enhancements.
- Experience with Azure and cloud-based data solutions.
- Adept at translating data into business-focused insights, narratives, and actionable recommendations.
- Proven track record of collaborating with stakeholders in dynamic, client-facing environments.
- Familiarity with software development best practices and exposure to modern data platforms.
- Exceptional English communication skills, as you will engage directly with clients based in the US.
Your Key Responsibilities Will Include:
- Gathering and analyzing business requirements to establish KPIs, metrics, and reporting needs.
- Designing, developing, and maintaining Power BI dashboards and reports that provide clear and actionable insights.
- Collecting and integrating data from various sources (databases, APIs, files, streams) into datasets ready for analysis.
- Cleaning, validating, and preparing data by addressing inconsistencies, errors, and missing values.
- Utilizing statistical and analytical methods to uncover trends, patterns, and opportunities.
- Collaborating closely with cross-functional teams to facilitate strategic and operational decision-making.
- Contributing to predictive analysis and forecasting initiatives using statistical and machine learning techniques.
- Ensuring compliance with data quality, governance, and security standards.
- Effectively communicating findings to both technical and non-technical stakeholders through reports and presentations.

