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Senior Data Analyst
Hendall Inc Rockville, MD
Full Time | IT Outsourcing & Consulting 6 Months Ago
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Hendall Inc is Hiring a Senior Data Analyst Near Rockville, MD

OVERVIEW

Hendall is currently seeking a Senior Data Analyst, with experience processing and analyzing substance abuse treatment services and mental health treatment services data, to join a project team supporting the U.S. Department of Health and Human Service (HHS) Substance Abuse and Mental Health Services (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ).

In December 2016, the 21st Century Cures Act (Cures Act) was signed into law and codified CBHSQ. CBHSQ conducts national surveys tracking population-level behavioral health issues. CBHSQ also provides statistical and analytical expertise; both activities support the Assistant Secretary for Mental Health and Substance Use and the Secretary of HHS. CBHSQ maintains several data collection systems and surveys on key topics in U.S. behavioral health. This position will support the Behavioral Health Services Information System (BHSIS), which collects information on the U.S. behavioral health treatment system and connects people with substance use and mental health treatment through the Behavioral Health Treatment Services Locator.

DUTIES

The Senior Data Analyst will be collaborative and demonstrate focus and attention to detail. He/she receives, analyzes, and processes BHSIS substance abuse treatment services and mental health treatment services data. Specifically:

  • Receive data in electronic and hard copy formats and prepare for input and processing
  • Analyze data files, produce error reports and work with stakeholders to resolve processing errors
  • Create, document, and implement quality control procedures that eliminate data errors
  • Prepare and submit monthly status reports documenting the status of data submissions
  • Generate tabulations from survey data files
  • Conduct routine ad hoc data runs and prepare write-ups in response to data queries
  • Develop the structure, specifications, and code for new data elements
  • Revise processing operations to incorporate new data elements and data quality control and timeliness procedures related to new elements.
  • Develops imputation plans
  • Produce analytic data file with imputed variables flagged
  • Generate analytic data file documentation, in ASCII and SAS format with SAS input statements and programming specifications
  • Create 508-compliant, searchable information for posting on public facing websites
  • Prepare error-free annual data reports
  • Produce public-use data files and documentation in ASCII and SAS format, with SAS input statements
  • Create and maintain dashboards in Tableau

MINIMUM QUALIFICATIONS

  • Bachelor's degree in math, statistics, data science, computer science, or related fields. Strong math and analysis skills are needed.
  • 5 years of professional experience in receiving, analyzing, processing large datasets (substance abuse and mental health domain knowledge preferred)
  • 5 years of experience using SAS (Base SAS, SAS/STAT, SAS/GRAPH, SAS/ACCESS, Macro facility, ODS, DDE)
  • 5 years of experience with creating and maintaining relational databases using SQL
  • Advanced Excel skills (Task automation, dynamic reports with PivotTables, building formulae, cell formatting, building charts and graphs, large data management with IF, SUM, INDEX, MATCH, VLOOKUP functions)
  • Tableau, SSRS experience preferred (3 years)
  • Familiarity with SPSS, Stata, R a plus
  • Strong problem-solving skills
  • Strong written and verbal communications skills

Hendall Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

POST DATE

09/17/2022

EXPIRATION DATE

11/03/2022

WEBSITE

hendall.com

HEADQUARTERS

POTOMAC, MD

SIZE

100 - 200

FOUNDED

2004

TYPE

Private

CEO

ART HENRY

REVENUE

$10M - $50M

INDUSTRY

IT Outsourcing & Consulting

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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.

Quotes from people on Senior Data Analyst job description and responsibilities

Does statistical analysis, explanatory and predictive modeling, data mining.

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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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