Business Analyst

Aditi Consulting

  • Plano, TX
  • 1 day ago
  • $57–$57.47 Per Hour

Highlights

Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. Key Responsibilities: Own the end-to-end ratings & reviews strategy across retail and DTC channels, turning fragmented feedback data into a single, trusted source of truth that marketing and product teams rely on for decision-making.

Numbers & Facts

LocationPlano, TX
Salary$57–$57.47 Per Hour

Description

Payrate: $57.00 - $57.47/hr.
 
Key Responsibilities:
  • Own the end-to-end ratings & reviews strategy across retail and DTC channels, turning fragmented feedback data into a single, trusted source of truth that marketing and product teams rely on for decision-making.
  • Translate large volumes of unstructured review and survey data into clear, prioritized insights — identifying the handful of issues or opportunities that matter most.
  • Partner cross-functionally with Product Marketing, Customer Service and Marketing teams to ensure VOC findings directly influence product improvements, messaging, and launch readiness.
  • Build and maintain a repeatable VOC reporting cadence (monthly scorecards, quarterly readouts, and executive summaries) that gives leadership a real-time pulse on brand and product sentiment.
  • Identify and stand up new listening tools, sentiment analysis methods, or AI-assisted text analytics to make the program faster and more predictive rather than purely retrospective.
  • Drive ratings and reviews programs through partnering with key stakeholders to drive quantifiable review volume against identified KPIs for key product launches and ongoing review incentivization across the portfolio.
  • Track ratings & reviews performance against competitors, flagging emerging risks (e.g., quality issues surfacing in reviews before they show up elsewhere) so teams can respond proactively.
  • Champion a customer-centric mindset across the Digital Appliances org, coaching stakeholders on how to read and use VOC data rather than just handing them a report.
 
Qualifications:
  • 3-5 years of experience in voice-of-customer, market research, customer insights, or ratings & reviews management, ideally within consumer electronics, appliances, or another durable goods category.
  • Demonstrated experience working with ratings & reviews platforms (e.g., Bazaarvoice, PowerReviews, Yotpo) and/or text/sentiment analytics tools.
  • Hands-on experience with Sprinklr (or a comparable enterprise VOC/social listening platform such as Medallia, Qualtrics, or Clarabridge) for sentiment analysis, theme detection, and reporting across reviews and customer feedback channels.
  • Strong analytical skills with the ability to synthesize large, messy datasets into clear narratives and recommendations for non-technical stakeholders.
  • Proven track record partnering across marketing, product, and CX functions to drive action from customer feedback — not just report on it.
  • Excellent written and verbal communication skills, including comfort presenting findings to senior stakeholders.
  • Proficiency with data visualization/reporting tools (e.g., Excel, Power BI, Tableau, or similar).
  • Bachelor's degree in Marketing, Business, Data Analytics, or a related field, or equivalent practical experience.
 
Nice-to-Haves
  • Experience in the consumer electronics, appliance, consumer durables, or connected home/IoT product categories.
  • Experience working in a large, matrixed organization with multiple internal stakeholders.
  • Prior contract or project-based work where you had to ramp quickly and show impact fast.
 
Top skills:
  • Analytics
  • Project management
 
Pay Transparency: The typical base pay for this role across the U.S. is: $57.00 - $57.47/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 

Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.

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