Job Description

Product Analyst - AI

Who we are?

At Edge, we believe simplifying employee data will help large corporates solve sub-optimal talent management problems. This data is more critical after the pandemic, as managing a remote workforce has shifted from optional to essential.

We have spent our last eight years understanding the workforce from the IT and BFSI industries. We have used this employee data to create a sophisticated intelligence. This brain behind our AI-based products is called EdGE graph- . We have used 11 million job descriptions and more than 30 million profiles to build the graph.

Our products like Pathfinder, Recruit and Mobility are deployed in IT companies like Wipro, HCL, UST Global, etc. and help them upskill, invest, and maintain their existing people. It has helped organisations improve their workforce availability, billing, allocations and drive straight bottom-line impacts. The new order of talent decisions helps us define, identify, and plan for a future-ready workforce.

We build end-to-end talent management products for organisations so that they have a 360-degree view of their talent supply chain. This helps them make informed talent decisions efficiently and build an intelligent workforce.

We built Edge Networks in 2012 in an apartment in Bangalore and soon, were supported by the National Skill Development Corporation of India (NSDC). We are a part of the NASSCOM Product Council and have been recognized by Gartner, Deloitte, Equidam, NVIDIA, Amazon as an innovative tech HR startup in various titles.

At Edge, we understand that modern companies that put the employees at the center of their workings, backed with data, will make their organisation productive. This is how we, at Edge, use tech for good.

Role: Product Analyst- AI

- The Product Analyst is a key player in the team and they will drive data-based decisions across the different product areas to enhance AI Engine based Capabilities. The product analyst will work directly with Product Manager- AI on product related questions and analysis on the AI aspect.

- This role will give first-hand view to key AI based product management practices and skills. The role includes querying and analysing data, performing exploratory data analyses to support feature implementations, creating and maintaining data pipelines, planning and creating dashboards, conducting an impact analysis of proposed product changes, evaluating feature alternatives, and designing experiments.

Traits that you have

- A team player - I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission.

- An excellent communicator - I know and understand the importance of clear, on-time communication. My spoken and written communication skills stand out for clarity and conciseness.

- A collaboration champion - I work closely with my colleagues to ensure alignment and champion the sharing of learning across teams.

- Comfortable being uncomfortable - I am comfortable with uncertainty. I have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers.

- Continuous improvement junkie - I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement.

- A problem solver - I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the product.

- Business & Tech curious - I have a wide-angle lens. I am curious about what is happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.

Responsibilities:

- You will collate, analyse and modelling through visualization of data to arrive at insights to create best in class AI capabilities powered features, algorithm upgrades.

- Develop expertise around all aspects of their data.

- Write queries, perform ad hoc analysis, setting up metrics and create reporting to ensure the team is moving towards smarter decisions.

- Leverage statistics to identify patterns of users, flows to create incremental and massive business impact.

- Measure and analyse product and feature performance for opportunities to innovate, improve ai capabilities to improve product experience.

- Interface with steam to solve Product and AI Engine issues and incorporate them in development/enhancement plan. Strategic asset creation from these engagements to bootstrap a self-service AI/ML platform.

- Focus on building data acquisition strategy to develop ai capabilities. Guide SME/Domain Experts to acquire data/insights to build ai capabilities.

- Recommending product improvements based on analytical findings. Defining new metrics, techniques, and strategies to improve performance

- Plan AI engine based feature/capabilities in conjunction with App Product Managers.

- Partners effectively with Data Scientist/Research Scientists, helping to define the problems we should be seeking to understand and to validate decision-making.

Role Skills:

- 4+ years of experience as a Product Analyst in AI/Data space.

- You have exceptional mathematical skills, applying a critical eye to the approach in understanding our data. Experience in machine learning, and statistical and predictive modeling a plus.

- You are insatiably curious about our data, have strong statistical intuition, and have a proven track record for leveraging analytics to drive significant business impact

- Extensive experience performing analysis, providing insights and constructing visualizations.

- Strong Problem solving, analytical skills and critical thinking

- Strong technological skills, hands-on experience with SQL, Python, and Excel

- Keen interest or background in statistics(e.g., hypothesis testing, regression techniques types)

- Excellent verbal and written communication skills

- B.S./B.S.E. degree in Applied Math, Data Science, Computer Science, Physics, or Similar Technical Field

Why should you join us?

We are concerned not only with the growth of the company, but each other\'s personal and professional growth, too. We are transparent, open and have a collaborative work environment. And above all, you need to bring your best. The rest does not really matter. With WFH becoming more normalized, you best believe we have been sharing our favorite ways to prioritize a healthy work-life balance at home (Netflix, anyone?).

Location - Bangalore

Type - Permanent, Full Time

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