Locatory.com is seeking an experienced Data Analyst to join our team. The ideal candidate will be responsible for analyzing large sets of data and providing insights that can be used to make informed business decisions. This person should have a strong understanding of statistical analysis, data visualization, and data modeling techniques. The role involves working closely with different departments in the company and collaborating with other teammates to ensure data accuracy and consistency.

Responsibilities:

✔️Collaborate with different teams within the company to identify data needs and develop data analysis solutions
✔️Develop and maintain data analysis tools and techniques to enhance data accuracy and consistency
✔️Analyze large sets of data to identify patterns, trends, and insights that can be used to make informed business decisions
✔️Present data insights and findings to management and other stakeholders
✔️Develop data visualization tools and dashboards for internal and external usage
✔️Ensure data accuracy and consistency through data quality assurance processes
✔️Communicate data insights to stakeholders in a clear and concise manner

Requirements:

✔️Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics)
✔️At least 3 years of experience in data analysis or a related field
✔️Strong proficiency in SQL and Excel
✔️Experience with statistical analysis tools
✔️Experience with data visualization tools (e.g., Tableau, Power BI, QlikView)
✔️Familiarity with data warehousing concepts and data modeling techniques
✔️Excellent problem-solving skills and attention to detail
✔️Strong communication skills, with the ability to explain complex data insights to non-technical stakeholders
✔️Ability to work independently and in a team environment

Preferred:

✔️Experience with Python programming language and relevant data science libraries (e.g., Pandas, NumPy)
✔️Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)
✔️Experience with data engineering techniques (e.g., ETL processes, data pipelines)

If you have a passion for data analysis and a strong desire to make a difference in the business world, we encourage you to apply for this exciting opportunity.