Career details

Key Responsibilities:

• Collect, clean, and analyze data from various sources to help drive business strategy.
• Perform data mining and statistical analysis to identify trends, patterns, and correlations.
• Develop reports, dashboards, and visualizations to present data insights to stakeholders.
• Work closely with cross-functional teams, including marketing, finance, and product development, to provide data support.
• Use data to drive decision-making and optimize business processes.
• Implement predictive models and algorithms to forecast trends and outcomes.
• Ensure data accuracy and integrity, conducting quality checks on data sources.
• Collaborate with IT teams to ensure proper data governance and security protocols.

Required Skills and Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools such as Excel, SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong problem-solving skills and analytical thinking.
• Excellent communication skills to translate complex data into understandable insights.
• Knowledge of database management and data warehousing concepts.
• Ability to work both independently and collaboratively in a fast-paced environment.

Preferred Skills:

• Experience in machine learning or predictive analytics.
• Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
• Experience with big data tools such as Hadoop or Spark.
• Understanding of data governance, privacy, and compliance regulations.