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Solution Analyst

Mindlance

Role overview

Qualifications

  • Bachelor’s degree in Data Analytics, Computer Science, or a related field
  • 0–3 years of experience in business analysis, product support, or technology delivery
  • Familiarity with cloud infrastructure platforms and DevSecOps
  • Strong analytical thinking and problem-solving skills

Responsibilities

  • Gather and document business and technical requirements from stakeholders across engineering, security, and application teams
  • Translate requests into clear problem statements, use cases, and success criteria
  • Analyze platform usage, operational metrics, and performance data to inform prioritization decisions
  • Facilitate requirement refinement sessions with stakeholders and subject matter experts

Key facts

Hard skills

Other skills

  • Problem Reporting
  • Analytical Thinking
  • Problem Solving
  • Communication

About the company

Mindlance logo

Mindlance

Staffing & Recruiting

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA’s list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1.What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR.Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service.With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem.Visit www.mindlance.com to learn more about us and our latest job openings.STAFFING INDUSTRY ANALYSTS RECOGNITIONS:Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

Company details

Company typeLarge
IndustryStaffing & Recruiting
Company size1001 - 5000

Links

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Job description

Solution Analyst
Location: 100% Remote (Quarterly visit to Betheda, MD 20814 )
Duration: 12 Months contract plus extension or conversion

Detailed Job Description:

The Solution Analyst supports the delivery of enterprise platform capabilities by translating business needs into clear, actionable requirements. This role sits within the Platform Engineering organization, focused on building reusable infrastructure components and policy-as-code guardrails that enable secure, scalable, and self-service technology solutions. Working closely with the Technical Product Owner (TPO), platform engineers, and cross-functional stakeholders, the Solution Analyst ensures that incoming requests are well-defined, aligned to enterprise standards, and sequenced to maximize business value and platform adoption. This role also leverages data analytics and observability insights to validate and prioritize requirements and ensure platform capability roadmaps are aligned to real business needs, performance signals, and operational outcomes.

CANDIDATE PROFILE:

Required:
  • Bachelor’s degree in Data Analytics, Computer Science, or a related field
  • 0–3 years of experience in business analysis, product support, or technology delivery
  • Familiarity with cloud infrastructure platforms and DevSecOps

Preferred:
  • When considering what to include in this section, consider the qualifications that will help distinguish an average candidate from an exemplary one
  • Strong analytical thinking and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to organize complex information into clear, structured outputs
  • Foundational experience with data analysis concepts (metrics, trends, KPIs)
  • Exposure to Agile or Scrum methodologies
  • Experience with tools such as Jira, Confluence, or similar platforms
  • Basic familiarity with observability or monitoring platforms (e.g., Dynatrace, Splunk, Grafana)
  • Exposure to data analysis tools and techniques (e.g., dashboards, SQL, reporting, or visualization tools)
  • Interest in security, compliance, or policy-driven technology solutions

CORE WORK ACTIVITIES:

Requirements Analysis & Intake:
  • Gather and document business and technical requirements from stakeholders across engineering, security, and application teams
  • Translate requests into clear problem statements, use cases, and success criteria
  • Identify gaps, assumptions, and dependencies to ensure a complete understanding of needs
  • Build data insights (usage trends, adoption patterns, operational metrics) to validate and shape requirements

Backlog Refinement & Documentation:
  • Decompose requirements into user stories with acceptance criteria and supporting artifacts
  • Ensure work is fully defined, feasible, and aligned to platform standards before entering development
  • Maintain backlog quality and documentation in collaboration tools (e.g., Jira, Confluence)
  • Work closely with the Technical Product Owner to define and track KPIs supporting the platform and overall business strategy

Data-Driven Prioritization & Observability Insights:
  • Analyze platform usage, operational metrics, and performance data to inform prioritization decisions
  • Leverage observability platforms (e.g., Dynatrace dashboards, logs, metrics, traces) to identify trends, gaps, and improvement opportunities
  • Use insights such as performance and adoption signals to refine requirements and validate business value
  • Support development of dashboards and reporting needs that improve visibility into platform health and user impact

Prioritization & Planning Support:
  • Support prioritization and sequencing of work based on business value, risk, and effort
  • Partner with the Technical Product Owner to prepare backlog items for planning and sprint execution
  • Help organize demand into structured, comparable units to support roadmap decisions

Stakeholder Collaboration:
  • Facilitate requirement refinement sessions with stakeholders and subject matter experts
  • Act as a liaison between technical teams and business stakeholders to ensure alignment and clarity
  • Communicate requirement updates, decisions, and dependencies effectively

Platform Alignment & Continuous Improvement:
  • Ensure requirements align to enterprise guardrails, reusable components, and standard “golden paths”
  • Encourage adoption of standardized solutions over custom approaches
  • Contribute to improvements in intake, refinement, and requirement management processes
  • Support continuous improvement using observability signals and feedback loops to refine platform capabilities and outcomes

EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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