Data Analytics Specialist: Turn Data into Strategy

RapidFix Services; Los Angeles (CA); On-site; USD 16,000 - 22,000; Full time

Benefits offered by this job

Competitive salary

Accommodations for Indian candidates

Job summary

RapidFix Services in Los Angeles is seeking a Data Analytics Specialist to turn complex data into actionable insights. You will collect and analyze large data sets from diverse sources, identify trends, and deliver data-driven recommendations to drive business decisions.

You will work with cross-functional teams, present findings to non-technical stakeholders, ensure data quality, and help build scalable analytics solutions using SQL, Python/R, and visualization tools like Tableau or Power BI.

Qualifications

• 3+ years of experience in data analytics or related role.
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication skills and the ability to present findings to non-technical stakeholders.

Responsibilities

• Collect and analyze large sets of structured and unstructured data from various sources
• Identify patterns trends and insights using statistical methods and tools
• Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions
• Present findings in a clear and concise manner to non-technical stakeholders
• Continuously monitor data quality and identify opportunities for improvement

Skills

SQL

Data Visualization

Python

R

Communication

Education

Bachelor's degree in CS/Statistics/Mathematics or related field

Tools

Tableau

Power BI

Job description

RapidFix Services in Los Angeles is seeking a Data Analytics Specialist to turn complex data into actionable insights. You will collect and analyze large data sets from diverse sources, identify trends, and deliver data-driven recommendations to drive business decisions.

You will work with cross-functional teams, present findings to non-technical stakeholders, ensure data quality, and help build scalable analytics solutions using SQL, Python/R, and visualization tools like Tableau or Power BI.