Data Analyst

Phoenix Healthcare Services; California (MO); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary and benefits

Professional growth through training

Collaborative working culture

Job summary

A health services company in California is looking for a detail-oriented Data Analyst to collect and analyze data. The ideal candidate will utilize tools like SQL, Python, and Tableau to drive impactful business decisions. You will be responsible for data collection, developing dashboards, and collaborating with cross-functional teams. Ideal candidates will have a relevant Bachelor's degree and 1-3 years of experience in data analysis. Join us for competitive salary and professional growth opportunities.

Qualifications

• 1-3 years of experience in data analysis or a similar role.
• Strong statistical analysis and problem-solving skills.
• Ability to translate complex data into actionable business insights.

Responsibilities

• Collect, clean, and organize raw data from various sources.
• Perform exploratory data analysis to identify patterns and anomalies.
• Develop and maintain interactive dashboards and reports.

Skills

SQL

Python

R

Tableau

Power BI

Google Data Studio

Excel

Statistical Analysis

Predictive Modeling

Machine Learning

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field

Tools

AWS

Google Cloud

Azure

Hadoop

Spark

Job description

We are looking for a highly analytical and detail-oriented Data Analyst to join our team at. The ideal candidate will be responsible for collecting, processing, and analyzing data to generate actionable insights that drive business decisions. You will work with cross-functional teams, using data visualization tools and statistical techniques to identify trends and opportunities for improvement.

Key Responsibilities

• Data Collection & Management
  • Collect, clean, and organize raw data from various sources (databases, APIs, spreadsheets).
  • Ensure data accuracy, consistency, and integrity across all datasets.
  • Develop and maintain automated data collection and storage systems.
• Data Analysis & Insights Generation
  • Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies.
  • Conduct statistical analysis to measure business performance and impact.
  • Provide insights and recommendations to support business strategy.
• Reporting & Data Visualization
  • Develop and maintain interactive dashboards and reports using Tableau, Power BI, or Google Data Studio.
  • Create clear and visually appealing presentations to communicate findings to stakeholders.
  • Generate periodic reports on KPIs, trends, and performance metrics.
• Database Management & Querying
  • Write and optimize SQL queries to extract, transform, and analyze data.
  • Maintain and update database structures to improve efficiency.
  • Support data warehousing and ETL (Extract, Transform, Load) processes.
• Collaboration & Communication
  • Work closely with marketing, finance, operations, and product teams to understand data needs.
  • Translate complex datasets into clear business recommendations.
  • Assist in training teams on data literacy and best practices for data usage.
• Predictive Analytics & Machine Learning (Optional)
  • Utilize predictive modeling techniques to forecast trends and behaviors.
  • Apply machine learning algorithms to enhance data-driven decision-making.

Key Qualifications & Skills

Technical Skills

• Proficiency in SQL, Python, or R for data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio).
• Strong knowledge of Excel (Pivot Tables, VLOOKUP, Macros, etc.).
• Familiarity with ETL processes, cloud platforms (AWS, Google Cloud, Azure), and big data tools (Hadoop, Spark, etc.) is a plus.

Analytical & Business Skills

• Strong statistical analysis and problem-solving skills.
• Ability to translate complex data into actionable business insights.
• Experience in A/B testing, regression analysis, and data modeling.

Soft Skills

• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and critical thinking.

Education & Experience

• Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• 1-3 years of experience in data analysis or a similar role.
• Previous experience in [industry-specific experience, if required] is a plus.

Why Join Us?

• Competitive salary and benefits.
• Opportunity to work on impactful data-driven projects.
• Professional growth through training, certifications, and mentorship.
• Collaborative and innovative work culture.