Navitas Partners LLC is a diversity led business, headquartered in NJ, as a dynamic IT professional services and workforce solutions company. We believe creating the best solutions in human resource services means always going above and beyond - and people are our most important asset. Our “DNA” invokes core values of knowing, trusting and serving our relationships. The better we know our clients and candidates, the better our relationship, and the better we match the needs and exceed expectations. We want our client’s experience with us to reflect a transparent, professional and driven relationship. At Navitas Partners we strive for Excellence in People, and grow with you to become a true extension of your HR specific business requirements, while remaining sensitive to your price & business needs. Certified Diversity Employer: SBE • WOSB • WBE • MBE • NMSDC NAICS: 541511, 541512, 541513, 541519, 54164, 518210, 811212, 561320 https://form.jotform.com/223145471243247

Job description

Title: Data Analyst
Location: Remote, LA
Duration: 2 years

Job Description:

The scope of the proposed services will include the following:

● Collect, clean, and analyze data to support business decisions and strategies;
● Develop and maintain reports and dashboards to visualize key performance indicators (KPIs);
● Develop exception reporting to help identify potential errors made by manual administrative responsibilities;
● Collaborate with stakeholders to understand data needs and provide actionable insights;
● Under the guidance of LDOE, identify opportunities to augment internal tracking, reporting, and forecasting capabilities;
● Ensure data quality and integrity through rigorous testing and validation processes;
● Participate in team meetings and presentations to communicate findings and recommendations.

Expertise and/or relevant experience in the following areas are mandatory:

Two (2) plus years of expertise and/or relevant experience in:
o Data analysis and reporting;
o SQL and database management systems (e.g., PostgreSQL, MySQL, MSSQL);
o Data visualization tools (e.g., Power BI);
o Excel/Google Sheets advanced formulas;
Proficiency in Python programming language;
Strong understanding of statistical methods and techniques;
Excellent communication skills for presenting findings to non-technical stakeholders.