Product Specialist

Location: Bengaluru

As a Product Specialist at Clarisights, you're the tactical wizard at the heart of our business. You'll support Customer Success Managers, working hands-on with our powerful platform to deliver exceptional value to our customers.

Your role is crucial in translating customer needs into technical specifications and turning data into insights that drive business decisions.

What sets this role apart is your ability to work with a diverse tech stack, your hands-on experience in building reports and dashboards, and your knack for using data analysis tools. You'll be the go-to person for tactical execution, supporting high-agency relationships with both external and internal stakeholders, and continually finding ways to improve our customers' decision-making through data-driven insights.

Responsibilities

Assist in pilot projects, helping to define success criteria and clearly define customer/business requirements translate customer needs into product features.
Build and optimize dashboards that showcase Clarisight's value proposition.
Contribute to growth strategies with data-driven insights.
Help manage and grow relationships with large international customers.
Identify and execute on expansion opportunities within customer organizations.
Continuously optimize customer processes and drive product adoption.
Work hands-on with the Clarisights platform and various data analysis tools.
Build and maintain reports and dashboards using customer and Clarisights tech stacks.
Translate customer requests into technical specifications for the engineering team.
Assist in feature prioritization and delivery.
Provide tactical support for go-to-market strategies and product marketing initiatives.
Serve as a key liaison between customers, PMs, and the engineering team.

As a PS, you'll be deeply involved in various stages of the problem lifecycle, including:

Analyzing customer data and reporting challenges.
Building and optimizing dashboards and reports.
Assisting in data integration and quality assurance.
Supporting pilot execution and feedback collection.
Helping transition pilots to full implementation.
Continuously improving product usage through data-driven insights.
Supporting upsell opportunities with detailed analytics.

Requirements

Hands-on experience with Excel, Google Sheets, SQL, and at least one BI tool is expected.
Knowledge of Python or R for data analysis is a significant plus.
Your ability to work with these tools and quickly learn new ones will be key to your success as a PS ven track record of generating data-driven business insights.
Strong technical skills, including experience with SQL and preferably Python or R.
Hands-on experience building reports and dashboards with BI tools.
Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders.
Deep appreciation for data: its sources, storage, usage, and business-transforming potential.
Technical curiosity and the ability to quickly learn new tools and systems.
Problem-solving skills with a tactical, execution-focused mindset.
High attention to detail and commitment to data accuracy.

We're looking for individuals who excel in three core areas:

Data Analysis and Insight Generation:
You have a knack for turning raw data into meaningful insights. You're comfortable working with large datasets and have experience using tools like Python or R for data analysis.
Technical Proficiency:
You have hands-on experience with BI tools, data storage solutions, and analytics platforms. You're adept at building reports and dashboards and can quickly learn new tools and technologies.
Customer Understanding:
You can understand customer needs and translate them into technical requirements. You're curious about how businesses operate and how data can drive their success.
You might be a recent graduate with a strong background in data science or analytics, a junior product manager looking to specialize in data-driven products, or a data analyst seeking to transition into a product role. (Not sure Talk to us! )

Technical Landscape

Customer Stack:

BI Tools:
Looker, Clicksense, Tableau.
Hybrid Solutions:
Datorama, Mode Analytics, Metabase, Domo.
Storage and Compute: GCP, Big Query, Snowflake, Redshift, Azure Cloud.
Essentials:
Excel, Google Sheets, SQL.

Clarisights Stack

Metabase (Metadata layer).
Kibana (ELK Stack).
Graphana (Metrics).

Competitor Stack

Funnel, Supermetrics, Datorama, Adverity, Fivetran.

This job was posted by Madhur Khake from Clarisights.