Overview
Skills
Job Details
Position Summary:
As a Data Analyst with 3-5 years of experience, you will work with large datasets to provide actionable insights that help drive business performance. The role involves gathering data from multiple sources, conducting data analysis, creating reports, and communicating insights effectively to key stakeholders. The ideal candidate should be proficient in data analysis tools, have strong SQL and Excel skills, and possess the ability to transform data into business intelligence that guides to strategic decisions.
Key Responsibilities:
Data Collection & Management: Collect, clean, and organize data from multiple sources to ensure its accuracy and completeness.
Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and actionable insights that support business objectives.
Data Visualization: Develop visual reports and dashboards using tools such as Tableau, Power BI, or Google Data Studio to present findings clearly and effectively.
SQL Querying & Data Extraction: Write complex SQL queries to extract and manipulate data from relational databases.
Reporting & Presentation: Generate regular and ad-hoc reports for stakeholders, highlighting key performance indicators (KPIs), trends, and insights.
Collaboration with Teams: Work closely with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide actionable insights.
Quality Assurance: Ensure data accuracy and integrity through regular audits and validation processes.
Predictive Analytics & Forecasting: Use historical data to build predictive models for future trends, demand forecasting, and customer behavior.
Support Decision Making: Present insights and data-driven recommendations to senior management to aid in business decision-making.
Qualifications:
Bachelor s degree in Data Science, Statistics, Computer Science, Business, or a related field.
3-4 years of experience as a Data Analyst, with proven experience in handling large datasets and deriving actionable insights.
Strong SQL skills for querying and manipulating data from relational databases.
Proficiency in Excel, including advanced functions, pivot tables, and data analysis tools.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Analytical skills with the ability to interpret complex data and translate it into meaningful insights.
Experience in reporting: Ability to design and generate reports for different audiences, including business leaders and technical teams.
Strong attention to detail and commitment to ensuring data accuracy.
Communication skills: Ability to present complex data findings in an easy-to-understand format to non-technical stakeholders.
Preferred Skills:
Experience with Python or R for data analysis and statistical modeling.
Familiarity with ETL processes, data pipelines, and cloud-based data storage solutions (e.g., AWS, Google Cloud, or Azure).
Knowledge of machine learning or predictive modeling techniques is a plus.
Experience with CRM systems, ERP systems, or other enterprise applications.