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CX Data Analyst IV

Mindlance

Role overview

Qualifications

  • 6 years of experience in data analytics, data science, or related analytical roles.
  • 6 years of work experience in analytics, data querying languages such as SQL, and statistical analysis methods.
  • Experience with data-led storytelling and conveying complex insights to non-technical stakeholders.
  • Experience working with Customer Experience or Voice of Customer metrics.

Responsibilities

  • Identify trends, opportunities, and pain points across Reality Labs' customer support channels using various data sources.
  • Monitor customer feedback to identify emerging trends and issues and perform root cause analysis.
  • Integrate customer feedback data with other transactional, operational, and behavioral data sources.
  • Advocate for customers and influence corrective actions through periodic and ad-hoc reporting.

Key facts

Hard skills

Other skills

  • Collaboration
  • Presentations
  • Problem Solving

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

Job title: Customer Experience and Support Analyst

Description:
As a CX Analyst for Reality Labs¬タル Customer Experience (CX) team, you will join a global team leveraging customer feedback to drive service improvements and business growth. You will analyze support surveys and operational data to identify improvement areas and partner with cross-functional teams to implement enhancement strategies. By applying your expertise in data analysis and storytelling, you will help define the future of our customer support program.

Responsibilities
  • Identify trends, opportunities, and pain points across Reality Labs' customer support channels using various data sources (customer support operational data, case transcripts, surveys, and other relevant data).
  • Monitor customer feedback to identify emerging trends and issues and perform root cause analysis.
  • Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of experience drivers.
  • Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders.
  • Collaborate with cross-functional teams to identify root causes of customer issues within support functions and develop action plans to remediate and measure effectiveness.
  • Utilize various systems and tools (AI analytics tools, Salesforce, Hive) to analyze and deliver insights.
  • Present insights and recommendations to stakeholders and executives through compelling and engaging presentations.

Required Qualifications
  • 6 years of experience in data analytics, data science, or related analytical roles.
  • 6 years of work experience in analytics, data querying languages such as SQL, and statistical analysis methods
  • Experience with data-led storytelling and demonstrated experience in conveying complex insights to non-technical stakeholders
  • Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback
  • Experience working with customer support operational metrics
  • Experience with statistical analysis techniques and utilizing R, Python, or similar scripting languages/tools.
Desired Qualifications
  • Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
  • 3 years of experience in customer experience, customer support, customer care, or other service-related analytics roles
  • Proficiency in AI-powered tools: Demonstrated working knowledge of Generative AI technologies (e.g., LLMs and AI agents), with experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analysis, synthesize insights, and execute multi-step analytical tasks (e.g., prompting agents to clean datasets or build visualizations).
  • Experience working with Salesforce
  • Knowledge of predictive analytics or ML/AI techniques
  • We are seeking someone with strong technical, statistical, and AI-related skills. The ideal candidate is eager to learn and apply AI technologies, preferably with prior or current hands-on experience. Most analyses are not yet automated using AI, so this individual must be willing to help drive that transition and build scalable AI-enhanced solutions on top of existing processes.

Remote role / preferred time zone PST

EEO:

ᅡᆲ ̄ツ﾿ ̄テᆵMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of ᅡᆲ ̄ツ﾿ ̄テᄁ Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.ᅡᆲ ̄ツ﾿ ̄テᄈ

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Marcus Rivera

Chief Revenue Officer

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