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Data Analytics Staffing Jobs (NOW HIRING)

Collaborate with program managers, engineers, financial analysts, and technical staff to understand analytic needs, refine requirements, and prioritize work. * Document analytical methods, data ...

Coaching and mentoring junior staff As a Senior Data Analytics Manager focused on Product Analytics, you will lead analysts, partner cross-functionally, and set data strategy for a wide range of ...

Coaching and mentoring junior staff As a Senior Data Analytics Manager focused on Product Analytics, you will lead analysts, partner cross-functionally, and set data strategy for a wide range of ...

Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. ... Manage resources and staff workload for their assigned projects; ensure studies are resourced ...

As a Manager, Data Analytics , you will play ahandsonrole supporting and executing strategic and ... levels of staff, up to and including the executive level. * Advanced knowledge of Excel and ...

As a Manager, Data Analytics , you will play ahandsonrole supporting and executing strategic and ... levels of staff, up to and including the executive level. * Advanced knowledge of Excel and ...

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Data Analytics Staffing information

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How much do data analytics staffing jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data analytics staffing in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How do data analytics staffing professionals collaborate with hiring managers to identify the best candidates for specialized analytics roles?

Data analytics staffing professionals work closely with hiring managers to understand the technical and business requirements of open positions. They participate in detailed intake meetings to clarify the skills, experience, and tools needed, and may help refine job descriptions for accuracy. Throughout the recruitment process, they regularly update hiring managers on candidate pipelines and feedback, ensuring alignment on expectations and timelines. This collaborative approach helps match candidates with niche analytics expertise to the unique needs of each team.

What is the difference between Data Analytics Staffing vs Data Analyst?

AspectData Analytics StaffingData Analyst
CredentialsVaries; often includes certifications like CAP, Microsoft Certified Data Analyst AssociateBachelor's degree in data-related fields; certifications are a plus
Work EnvironmentTemporary or project-based roles, often with multiple clients or companiesFull-time or part-time employment within a company or organization
Employer UsageStaffing agencies, consulting firms, companies seeking flexible data talentOrganizations with dedicated data teams or departments
Search & Comparison IntentLooking for flexible data talent solutions or temporary staffingSeeking full-time data analysis roles or career opportunities

Data Analytics Staffing involves providing temporary or project-based data analysis talent through staffing agencies, while Data Analysts are full-time employees performing data analysis within organizations. Staffing offers flexibility, whereas Data Analysts typically have ongoing roles within a company.

What are the key skills and qualifications needed to thrive in Data Analytics Staffing, and why are they important?

Success in Data Analytics Staffing requires strong knowledge of data analytics roles, recruitment best practices, and an understanding of technical skillsets, often supported by experience in talent acquisition or human resources. Familiarity with applicant tracking systems (ATS), data analytics tools (such as SQL, Python, or Tableau), and professional networking platforms is highly beneficial. Excellent communication, relationship-building, and critical thinking skills help recruiters match candidates to organizational needs and build strong client relationships. These abilities ensure the right talent is sourced efficiently, supporting both organizational goals and candidate career growth.

What is data analytics staffing?

Data analytics staffing refers to the process of recruiting, hiring, and placing skilled professionals in roles that focus on analyzing data to help organizations make informed decisions. Staffing agencies or internal recruiters identify candidates with expertise in data analysis, statistics, and related technologies to fill both temporary and permanent positions. This ensures that organizations have access to the talent they need for projects such as business intelligence, predictive modeling, and data-driven strategy development.
What cities are hiring for Data Analytics Staffing jobs? Cities with the most Data Analytics Staffing job openings:
What states have the most Data Analytics Staffing jobs? States with the most job openings for Data Analytics Staffing jobs include:
Senior Staff Analyst - Data Analytics Specialization

Senior Staff Analyst - Data Analytics Specialization

Heluna Health

Alhambra, CA โ€ข On-site

$8.2K - $11K/mo

Full-time

Posted 2 hours ago


Job description

Salary Range: $8,249.91 - $11,903.10 Monthly

SUMMARY

The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance.

The Senior Staff Analyst will be responsible for managing requirements gathering on 70 quality measures, tracking project status, maintaining project plans, meeting deadlines, and ensuring all action items are followed up on. This role operates in a fast-paced environment and requires continuous tracking, updating, prioritizing, and assignment of a large volume of tasks. Additionally, this role involves maintaining a detailed project plan in Smartsheet, ensuring timely completion of tasks.

ESSENTIAL FUNCTIONS

  1. Lead agile project and program management efforts, ensuring timely execution, alignment with department goals, and effective risk mitigation in a high-velocity environment.
  2. Manage business and technical requirements gathering, collaborating with stakeholders to define business rules and measures, ensuring alignment with SQL-based data structures where applicable.
  3. Strong analytical skills, with the ability to identify trends and perform root cause analysis, and to clearly communicate findings with clinical stakeholders.
  4. Develop and maintain comprehensive project plans in Smartsheet, tracking tasks, dependencies, deadlines, and action items at a granular level with frequent updates.
  5. Facilitate Data & Analytics (D&A) meetings, ensuring stakeholder engagement through effective and timely communication, capturing key decisions, tracking follow-ups, and managing meeting documentation while actively driving closure on assigned action items.
  6. Prepare project status reports, executive updates, and performance metrics to communicate progress, risks, and key milestones.
  7. Develop and maintain data product roadmaps to support enterprise-wide data initiatives while balancing priorities and delivery timelines.
  8. Create clear, well-structured reports, policy documents, business cases, and stakeholder presentations for the D&A unit.
  9. Support hiring and talent development by drafting job descriptions, participating in interview panels, and contributing to onboarding activities.
  10. Build and maintain strong relationships with stakeholders to promote data governance best practices and advance organizational objectives while ensuring accountability for assigned deliverables.
  11. Conduct research and provide strategic recommendations to management on program, policy, and operational improvements to enhance efficiency and effectiveness.
  12. Track, coordinate, and continuously update daily tasks and action items, ensuring work is properly assigned, progress is visible, and bottlenecks are escalated and resolved.
  13. Manage and monitor multiple quality measures, maintaining a working understanding of each measure, its dependencies, and its assigned owners.

JOB QUALIFICATIONS

The ideal candidate for the Senior Staff Analyst should have a strong background in project and program management, business analysis, and agile methodologies, particularly within a Data & Analytics unit. The role requires exceptional organizational skills and the ability to manage significant task volume, complexity, and pace without loss of accuracy or follow-through.

The role requires excellent writing and communication skills to produce well-structured reports, policy documents, and strategic recommendations. Candidates should have experience leading requirements-gathering sessions, defining business rules and measures, and collaborating with technical teams to ensure data structures align with business needs.

Familiarity with Smartsheet, Jira, or other project management tools is essential for tracking and managing project deliverables in a real-time, execution-focused environment. This role demands strong leadership, problem-solving, and stakeholder management skills to facilitate cross-team collaboration, influence decision-making, and align initiatives with organizational priorities while managing constant task movement and updates.ย 

Education/Experience

  • Bachelorโ€™s degree or higher in a quantitative field (e.g., Data Science, Mathematics, Statistics, Economics, Engineering, Computer Science, or a related discipline); advanced degree preferred.
  • Five years of experience in business analysis, project management, or program management, including gathering and documenting requirements, managing projects, and coordinating stakeholders across multiple concurrent workstreams.
  • Experience using agile methodologies, particularly in software and data product development within fast-paced delivery environments.
  • Experience defining business rules and measures, with an understanding of how SQL-based data structures support these requirements and how those measures are operationally tracked and maintained.
  • Experience using Smartsheet, Jira, or similar project management tools to track project status, action items, and dependencies at a detailed, task-level scale.
  • Experience developing a variety of stakeholder materials, including concise presentations, training guides, and business case documents.

Certificates/Licenses/Clearances

  • Successful clearing through the Live Scan process with the County of Los Angeles.

Other Skills, Knowledge, and Abilities

  • Advanced knowledge of Transact-SQL, including query optimization, performance tuning, and complex data modeling.
  • Strong analytical and problem-solving skills with the ability to identify root causes and translate findings into actionable solutions.
  • Experience reviewing and implementing complex Business Requirement Documents (BRD) and technical specifications.
  • Hands-on experience with Azure Synapse Analytics and/or Microsoft Fabric.
  • Proficiency in cloud-based data processing using notebooks, PySpark, and ETL frameworks.
  • Familiarity with medallion architecture (bronze, silver, gold data layers).
  • Knowledge of object-oriented programming concepts, including experience with C# or similar languages.
  • Exposure to data science, and AI/ML modeling concepts is a plus.
  • Strong communication skills with the ability to work effectively across technical and non-technical teams.
  • Ability to manage multiple priorities, meet deadlines, and work independently in a fast-paced environment.

PHYSICAL DEMANDSย 

Stand: Not applicable

Walk: Not applicable

Sit: Frequently

Handling / Fingering: Constantly

Reach Outward: Constantly

Reach Above Shoulder: Not applicable

Climb, Crawl, Kneel, Bend: Not applicable

Lift / Carry: Occasionally - Not applicable

Push/Pull: Occasionally - Not applicable

See: Constantly

Taste/ Smell: Not Applicable

Not Applicable = Not required for essential functions

Occasionally = (0 - 2 hrs/day)

Frequently = (2 - 5 hrs/day)

Constantly = (5+ hrs/day)

WORK ENVIRONMENT

Hybrid

EEOC STATEMENT

It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.