Data Analyst

*** Please include your resume with the number 1500 as the subject header, along with outlining your relevant experience and qualifications to be considered for an interview. ***


About Us

We are a growing business dedicated to delivering valuable insights that drive smarter decisions for our clients. As we continue to expand, we are looking for a Data Analyst to join our team. If you are passionate about turning data into actionable insights, love problem-solving, and thrive in a collaborative environment, we’d love to hear from you!


What You’ll Do


-Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights.
-Develop and maintain dashboards, reports, and visualizations using tools like Tableau, Power BI, or Looker.
-Write and optimize SQL queries to extract and manipulate data efficiently.
-Collaborate with business and technical teams to understand requirements and translate them into data-driven solutions.
-Support data quality initiatives by ensuring accuracy, consistency, and reliability of datasets.
-Conduct ad hoc analysis to answer business questions and provide recommendations.
-Assist in building predictive models or statistical analyses where applicable.
-Present findings and insights clearly to both technical and non-technical stakeholders.



What You Bring


-Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
-2–4 years of experience as a Data Analyst or in a related data-focused role.
-Proficiency in SQL and advanced Excel skills.
-Hands-on experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
-Knowledge of Python or R for data analysis and scripting.
-Strong analytical and critical-thinking skills with attention to detail.
-Ability to translate complex datasets into simple, actionable insights.
-Excellent communication and collaboration skills.



Nice-to-Haves:

-Experience with cloud data platforms (AWS, Azure, GCP).
-Knowledge of ETL processes or big data tools.
-Exposure to predictive analytics or machine learning techniques.



What We Offer


-Competitive salary.
-Flexible work hours & remote options.
-Opportunities to work on diverse projects across industries.
-Professional growth and training support.
-A collaborative, supportive, and innovative work culture.


How to Apply


Ready to make an impact with data? Send your resume with code 1500 in the subject line

*** Please include your resume with the number 1500 as the subject header, along with outlining your relevant experience and qualifications to be considered for an interview. ***