Job details

Data Analyst

We are Progress (Nasdaq: PRGS) - the experienced, trusted provider of products designed with customers in mind so they can develop the applications they need, deploy where and how they want, and manage it all safely and securely. 

We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progressJoin us as a Data Analyst and help us do what we do best: propelling business forward. 

Join the Progress Data & Analytics team to help teams accelerate their product insights Journey by providing data to Product managers. We are looking for a Product Analytics Analyst to join our team to enable data-driven decisions and improvements in the Progress product suite. You will need technical expertise in data extraction, data analysis, and metric definition in order to make recommendations that drive meaningful business outcomes. Your job will be to partner with Product Management in identifying opportunities for product improvement; scoping impact of product decisions on clients; informing backlog prioritization through research & investigation; and building & monitoring effective release metrics and KPIs.

You are passionate about problem-solving and always take a customer-centric approach. You know how to energize cross-functional teams around a problem and use data to identify & prioritize solutions. You are skilled at creating meaningful analysis with large, complex datasets and using the tools of your trade: query languages, ETL tools, data analysis & data visualization for business intelligence. You are at your best when tackling new problems and supporting innovation.

We are a diverse group of Progressers who believe that being smart about how we use data can lead to better products and more value for our clients. We don't just pull data and create analyses; we create compelling stories. We believe we are strongest when we support each other, and that learning is always part of the job.

In this role, you will :

Lead the measuring of success of a product zone including metrics that cover product performance, adoption and utilisation, and outcomes.
Work with the Product Management to determine the measures of success and guide good usage of outcome driven metrics
Compile user, transaction, and other data from complex systems to generate reports and analyses for partner and stakeholder groups
Pull user, transaction, and other data from complex systems in order to format into reports and analyses for the Product Managers
Synthesize results to determine success or failure of experiments and make recommendations on go forward plan
Develop and manage strong, collaborative relationships with associated product team and other stakeholders, as needed, to help drive results
Create and maintain easy to use visuals (e.g. dashboard, report card, etc) to keep Product teams informed of product/feature performance
Reinforce the use of standardized data assets and metrics, and help surface and fill gaps as discovered.
Work independently as well as collaborates on an extended, cross-geography, cross-functional team

Your Background:

Bachelor’s Degree required; Degree (Bachelor’s or Masters) in quantitative disciples like Computer Science, Data Engineering, Data Science, Statistics, or Mathematics or Analytics, or Information Systems preferred
2-4 years professional experience of data analytics experience.
Demonstrated experience with an array of analytical tools and methods including data visualizations (Tableau, Power BI, etc), and programming languages (Python, R, etc)
Strong understanding of database technologies and ability to write code to gather data. Considerable SQL experience preferred
Ability to synthesize complex, high volume and sometimes contradictory information to effectively solve business problems
Knowledge of, and ability to use, strategies, techniques and tools for effective communication of technical ideas to various audiences
Knowledge of AWS (Redshift, Lambdas, LightSail) & how to extract information from REST or GraphQL APIs (good to have)
Demonstrated ability to use a variety of tools, techniques, and processes to gather and report data
Good to have some knowledge in statistics & understanding of Salesforce objects like opportunities and accounts
Understanding of GitHub and version control

If this sounds like you and fits your experience and career goals, we’d be happy to chat. What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy:

30 days of earned leaves plus an extra day off for your birthday, various other leaves like marriage leave, casual leave, maternity leave, paternity leave. 
Premium Group medical Insurance for employees and 5 dependents, personal accident insurance coverage, life insurance coverage
Professional development reimbursement 
Interest subsidy on loans - either vehicle or personal loans

#LI-SR1

#LI-Hybrid