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Senior Data Analyst
WCIRB Oakland, CA
Full Time 8 Months Ago
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WCIRB is Hiring a Senior Data Analyst Near Oakland, CA

The Senior Data Analyst is responsible for 1) providing statistical programming expertise in SQL, R or Python to access, analyze and report data descriptives and analysis results with directions, 2) assisting with the design and implementation of data analysis and research on the medical care delivery, industry classifications and other research topics in the California workers’ compensation system, 3) assisting in training data analysts on research protocols and team processes, and 4) leading development and maintenance of data products and reports.

The Senior Data Analyst will work on various WCIRB datasets, such as medical and indemnity transaction data, Policy and Unit Statistical Report data, Hoovers data and inspection report data. The Analyst is also expected to utilize external datasets to enhance analysis.

The Senior Data Analyst reports to Vice President, Data Analytics.

Essential Duties and Responsibilities:

  • Assist with the designand implementation of medical and classification analytics projects through:
  • Reviewing published data, information and studies on the research topics and contributing to study design.
  • Independently developing well-documented and reproducible scripts in in SQL, R or Python for pulling and wrangling data for the Analyst’s own work and for the use of research staff in studies or to address ad-hoc requests.
  • Performing accuracy and reasonableness checks to assure quality of the working dataset is appropriate to each study.
  • Communicating clearly to research staff the rules employed to prepare the working datasets for study.
  • With directions, independently conducting exploratory analyses and statistical analyses (e.g., hypothesis testing, regression analysis, predictive modeling) to answer the key research questions.
  • Applying judgement and discretion in the analyses and in the production of reports and presentations.
  • Performing integration of diverse internal and external data sources, such as external code sets or policy data, to enhance analyses.
  • Preparing tables and figures to present analysis results in reports and presentations.
  • Assuring analysis results are accurate following the Data Analytics team review protocol.
  • Providing technical and peer review of other analysts work.
  • Communicating results via written and oral presentations.
  • Lead the development of automating routine analysis data and reporting tasks, including quarterly medical benchmarking reports.
  • Participate in discussion with external agencies, working groups and research groups on medical and classification research.

Education, Experience, and Skill 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, skills and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor’s Degree in a quantitative field such as statistics, economics, data science, computer science or other related field and a minimum of two years of professional experience with rating organizations, data analytic companies, property/casualty insurers, health insurers, managed care companies, consulting, and/or hospital systems

or Master’s Degree in a quantitative field similar to those named above.

  •  A minimum of four years of SQL, R or Python programming experience in a Data Analyst or equivalent role, or through coursework.
  • A minimum of two years of professional experience with rating organizations, data analytic companies, property/casualty insurers, health insurers, managed care companies, consulting, and/or hospital systems.
  • Proficient in building functions and producing graphs in R or Python.
  • Track record of completed analytical projects in R or Python.
  • Proficient in statistical modeling (e.g., regression analysis), text analytics, geospatial data, or predictive modelling.
  • Demonstrated proficiency working with relational databases, large data sets and multiple data sources.
  • Ability to communicate both effectively and professionally, both verbally and in writing.
  • Strong listening and interpersonal skills.
  • Proficient in Microsoft office suite.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Job requires approximately 90% sitting, 10% standing/walking.
  • Significant time spent at keyboard and monitor.
  • Some telephone and copy machine use.

Work Environment

The work environment characteristics described in this section are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Steady stream of analytical work, decision-making, research, telephone work, meetings.
  • Work requires attention to detail, follow-through and analysis of collected information.

Disclaimer

Management may assign or reassign duties and responsibilities to this position at any time. As such, the job description may be revised depending on the WCIRB’s needs. Further, this job description is a general summary of responsibilities and requirements and is not intended to be all-inclusive of the responsibilities and requirements of this position.

Please note that the WCIRB has enacted a mandatory COVID-19 vaccine requirement for all employees. Proof of full vaccination or an approved exemption or deferral is required of all employees, including new hires.

Job Summary

JOB TYPE

Full Time

POST DATE

08/07/2022

EXPIRATION DATE

11/03/2022

WEBSITE

wcirbonline.org

HEADQUARTERS

San Francisco, CA

SIZE

50 - 100

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The following is the career advancement route for Senior Data Analyst positions, which can be used as a reference in future career path planning. As a Senior Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Analyst. You can explore the career advancement for a Senior Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The senior data professionals work closely with business stakeholders to understand their objectives and to determine how data can be used to achieve the goals.

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They also work with large sets of data and establish scalable and accurate analytics systems across several applications.

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The Senior Data Analyst additionally develops models and ad hoc reports, sharing observations and recommendations with senior data management, executives, and stakeholders for further consideration.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Analyst jobs

Systems are then sent to the senior data analytics management for approval and feedback.

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Typically, senior data analysts have a diverse and rich background.

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Learn Data Analytics Fundamentals.

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A good data analyst has a blend of technical and soft skills.

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Candidates with strong academic results will be highly preferred as entry level analysts than their counterparts.

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Step 3: View the best colleges and universities for Senior Data Analyst.

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