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Data Analyst

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: H.J. Russell & Company
Full Time position
Listed on 2026-02-19
Job specializations:
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Summary

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for transforming complex data into understandable, actionable insights to drive business performance. The selected candidate will collaborate with cross-functional teams to identify data needs, analyze results, and present findings to stakeholders.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Includes the following. Other duties may be assigned.

  • Data Collection & Preparation:
    Extract, clean, and transform raw data from various primary and secondary sources to ensure accuracy, quality, and integrity.
  • Analysis & Interpretation:
    Perform in-depth statistical analyses to identify trends, patterns, and correlations, interpreting what the data means for the business.
  • Reporting & Visualization:
    Develop and maintain dashboards, reports, and data visualizations using BI tools (e.g., Tableau, Power BI) to communicate key metrics and findings clearly to non-technical audiences.
  • Collaboration:

    Work closely with leadership, marketing, finance, and product teams to understand business requirements, define KPIs, and deliver tailored analytical solutions.
  • Problem-Solving:
    Identify data-related issues, troubleshoot problems, and propose effective solutions to enhance data quality and analysis processes.
  • Documentation:
    Maintain clear documentation of data sources, analysis processes, and reports to ensure transparency and reproducibility.
Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Education:

    A bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related field.
  • Proficiency in database querying languages, especially SQL.
  • Strong experience with Microsoft Excel (VLOOKUP, Pivot Tables, advanced formulas).
  • Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with data visualization and reporting tools.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent written and verbal communication skills to present complex information clearly.
  • Strong attention to detail and logical thinking.
  • Ability to work both independently and collaboratively in a team environment.
  • Familiarity with statistical programming languages like Python or R.
  • Experience with P6 or BIM.
  • Understanding of REST APIs and JSON structures.
  • Coursework in linear algebra, statistics, or machine learning.
PHYSICAL DEMANDS & WORK ENVIRONMENT
  • While performing the duties of this job, the employee is regularly required to stand; walk; use hands and fingers to handle or feel; reach with hands and arms; and talk or hear. The employee frequently is required to sit; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must regularly lift and/or move up to 10 pounds and frequently lift and/or move up to 25 pounds.

    Specific vision abilities required by this job include close vision, distance vision, and ability to adjust focus.
  • While performing the duties of this job, the employee is regularly exposed to moving mechanical parts, fumes or airborne particles, and outside weather conditions. The employee is frequently exposed to toxic or caustic chemicals, risk of electrical shock, and vibration. The employee is occasionally exposed to wet and/or humid conditions; high, precarious places; extreme cold; extreme heat; explosives; and risk of radiation.

    The noise level in the work environment is usually loud.
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