Product Analytics

"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment".

Job Title:

Product Analytics

Location:

Santa Clara, CA 95054 - Hybrid - 2 to 3 days per week in the Santa Clara office. Relocation not considered at this time. PR Range: $58/hr.

- $64/hr. on W2 First:
Team is composed of business product managers and goal is business growth. Need to find out through product data who is using our product more. Identify growth opportunities, build reports, collaborate and give recommendations for areas for growth. Second: EP performs product upgrades. How successful are those upgrades, are customers facing more problems on certain products than others, etc. These kinds of metrics need to be built.

Third: logistics reporting is needed for the supply chain. Are returns from the buy-back initiative being processed properly and put back into the business effectively. What is the point of buying back if EP is not efficient in using it. Want somebody who has a good personality and high energy.

• Experience with BI Tools important – Tableau, Power BI, as well as the ability to use the latest technological tools to be more efficient (Glean, Claude, Enterprise GPT etc) in building pipeline and business metrics.
• If the person is really good, high possibility of being extended

Duties:
Business analytics and insights:

• Build and maintain recurring reporting on bookings, renewal trends, Forever versus Foundation mix, win rates, churn patterns, pricing, discounting, and install-base performance.
• Analyze business performance across regions, subscription tiers, platforms, and customer segments to identify growth drivers, leakage points, and portfolio risks.
• Produce executive-ready insights that connect operational and commercial signals to concrete recommendations for subscription business.

AI, modeling, and recommendations:

• Develop analytical models and AI-driven approaches to improve lifecycle visibility, upgrade targeting, install-base segmentation, churn risk detection, and subscription growth opportunities.
• Support recommendation frameworks that combine subscription rules, asset context, and business signals to drive smarter renewal, upgrade, and modernization decisions.
• Partner with product and business teams to define where AI can reduce manual analysis, improve forecasting, and operationalize lifecycle actions at scale.

Data products and operational enablement:

• Create dashboards, scorecards, and self-service analytics for stakeholders across product, subscriptions, sales, finance, CX, and operations.
• Work with data teams to improve data quality, metric definitions, and access to curated subscription and telemetry datasets that support scalable reporting and decision-making.
• Translate business requirements into structured metrics, KPI definitions, and data logic that can be embedded into dashboards, workflow tooling, and operational reviews.

Cross-functional partnership:

• Collaborate with product management, sales programs, analytics, and operations teams to align insights with subscription strategy and lifecycle program priorities.
• Support business reviews, planning cycles, and strategic initiatives by surfacing trends in renewals, program adoption, lifecycle readiness, and operational friction.

Skills:

• 3+ years of experience in analytics, business intelligence, strategy and operations, data analysis, or a related role supporting cross-functional business execution.
• Strong analytical skills with experience in spreadsheets, SQL, reporting, KPI design, and insight generation.
• Experience managing structured analyses across multiple stakeholders, systems, and data sources.
• Strong written and verbal communication skills with the ability to present findings clearly to both business and technical audiences.
• High attention to detail, especially in metric definition, data interpretation, and business logic validation.
• Comfort operating in a fast-evolving business environment where processes, programs, and data models continue to mature.
• Experience with AI or machine learning use cases in analytics, forecasting, recommendation systems, or operational decision support.
• Experience with subscription, renewal, pricing, or lifecycle businesses.

Education:

Bachelor’s degree in business, operations, supply chain, finance, analytics, computer science, data science, or a related field.

• Experience with BI tools such as Tableau, Looker, or Power BI, and with SQL-based data environments.
• Exposure to product analytics, portfolio analytics, or digital platform insights in a B2B technology business.

ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.

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