<p><p><b>Job Summary :</b><br/><br/></p><p>We are looking for a detail-oriented and analytical Data Analyst to join our team.
The ideal candidate will be responsible for collecting, processing, and analyzing data to generate actionable insights that support strategic decision-making across departments.
Youll work closely with business stakeholders to understand their data needs and deliver clear, impactful reports and visualizations.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>Data Collection & Cleaning :<br/><br/></p><p>- Gather data from internal systems, databases, APIs, and third-party sources<br/><br/></p><p>- Clean, validate, and preprocess data to ensure accuracy and consistency<br/><br/></p><p> Data Analysis & Interpretation :<br/><br/></p><p>- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies<br/><br/></p><p>- Use statistical techniques to derive insights and support business decisions<br/><br/></p><p>Reporting & Visualisation :<br/><br/></p><p>- Create dashboards and visual reports using tools like Tableau, Power BI, or Excel<br/><br/></p><p>- Present findings to stakeholders in a clear and concise manner<br/><br/></p><p>Collaboration & Strategy :<br/><br/></p><p>- Work with cross-functional teams (marketing, finance, operations) to understand data needs<br/><br/></p><p>- Translate business questions into analytical problems and deliver data-driven solutions<br/><br/></p><p>Data Governance & Quality :<br/><br/></p><p>- Maintain data integrity and ensure compliance with data privacy regulations<br/><br/></p><p>- Document data sources, methodologies, and processes<br/><br/><b>Required Skills & Qualifications :</b><br/><br/></p><p>- Proficiency in SQL for querying relational databases<br/><br/></p><p>- Strong knowledge of Excel (pivot tables, VLOOKUP, macros)<br/><br/></p><p>- Experience with data visualization tools (Tableau, Power BI, Looker)<br/><br/></p><p>- Familiarity with Python or R for data analysis and automation<br/><br/></p><p>- Understanding of statistics, data modeling, and hypothesis testing<br/><br/></p><p>- Excellent communication skills to explain technical concepts to non-technical audiences<br/><br/></p><p>- Attention to detail and strong problem-solving abilities<br/><br/><b>Preferred Qualifications :</b><br/><br/></p><p>- Bachelors degree in Data Science, Statistics, Computer Science, or related field<br/><br/></p><p>- Experience with cloud data platforms (AWS, GCP, Azure)<br/><br/></p><p>- Knowledge of machine learning basics or predictive analytics<br/><br/></p><p>- Exposure to big data tools (Spark, Hadoop) is a plus</p><br/></p> (ref:hirist.tech)