Data Analyst

Posted on April 21, 2025

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Job Description

  • Key Responsibilities
  • ETL Process Management: Design, develop, and maintain ETL pipelines for extracting data from various sources, transforming it, and loading it into data warehouses or databases.
  • Data Profiling: Analyze data quality, completeness, consistency, and integrity using profiling tools and manual assessments to ensure accurate and reliable datasets for reporting and analytics.
  • SQL Querying: Write complex SQL queries to retrieve, clean, and manipulate large datasets. Optimize queries for performance, particularly for large-scale data sets.
  • Data Analysis: Analyze data trends and patterns to generate actionable insights and support business decisions. Produce reports and dashboards as needed.
  • Collaboration: Work with data engineers, data scientists, and business stakeholders to understand data requirements, deliver insights, and ensure alignment on data-related projects.
  • Data Quality Assurance: Conduct regular data audits and create validation checks to ensure data quality across systems.
  • Documentation & Reporting: Maintain clear and comprehensive documentation of data pipelines, transformations, and workflows. Present findings to stakeholders through presentations and reports.
  • Process Improvement: Identify opportunities to optimize data processes, improve data collection methods, and reduce inefficiencies in data handling and reporting.
  • Required Skills & Qualifications
  • Experience: Minimum of 5 years of professional experience in Data Analytics, with a strong background in ETL processes, SQL querying, and data profiling.
  • Technical Skills:
  • o Proficiency in SQL (including advanced queries, joins, subqueries, and performance tuning).
  • o Hands-on experience with ETL tools (e.g., Talend, Informatica, Apache Nifi, SSIS).
  • o Experience with data profiling tools (e.g., DataFlux, Talend Data Quality, Informatica Data Quality).
  • o Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) is a plus.
  • o Strong understanding of relational databases (e.g., MySQL, PostgreSQL, Oracle).
  • o Experience working with large data sets and managing performance issues in querying.
  • Analytical Skills: Ability to interpret complex data and translate it into actionable insights. Strong problem-solving skills.
  • Communication Skills: Strong written and verbal communication skills, including the ability to present technical data to non-technical stakeholders.
  • Attention to Detail: Ability to identify inconsistencies, gaps, and anomalies in data.
  • Education: Bachelor�s degree in Computer Science, Data Science, Information Systems, Mathematics, or a related field (or equivalent work experience).
  • Preferred Skills
  • Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
  • Knowledge of scripting languages (e.g., Python, R) for data manipulation and analysis.
  • Familiarity with version control systems (e.g., Git).
  • Exposure to Agile methodologies.

Required Skills

data analyst