His/her responsibilities will start from understanding project briefs from internal stakeholders, identify the right analytic solutions from product portfolio that will answer client questions, execute them error-free and deliver results on time.

The work will be heavy on data analyses, statistical modelling, and finally presenting these from a business/non-technical point of view.

As the Analyst grows in experience, the profile will require that he/she starts carrying out the above tasks independently, lead the project discussions, contribute to building relationships with internal stakeholders, and improving our analytical solutions through R&D (Research & Development) initiatives and value-added insights.

Responsibilities

• Execute analyses error-free and on time
• Manage execution of multiple analyses within project and work towards building efficiencies by identifying faster and simpler ways to improve the existing solutions
• Lead discussions with internal stakeholders and effectively able to tackle all challenges in the assigned project
• Carry out multiple standard/non-standard analyses to help build quality and insightful proposals and final insights presentations.
• Gain a detailed understanding and develop expertise in existing analytical solutions
• Always look out and experiment with different techniques/methods to improve existing solutions
• Help in R&D studies by carrying out analyses as planned

When looking to buy a product, whether it is in a brick and mortar store or online, it can be hard enough to find one that not only has the characteristics you are looking for but is also at a price that you are willing to pay.  It can also be especially frustrating when you finally find one, but it is out of stock.  Likewise, brands and retailers can have a difficult time getting the visibility they need to ensure you have the most seamless experience as possible in selecting their product.  We at Wiser believe that shoppers should have this seamless experience, and we want to do that by providing the brands and retailers the visibility they need to make that belief a reality.

Our goal is to solve a messy problem elegantly and cost effectively.  Our job is to collect, categorize, and analyze lots of structured and semi-structured data from lots of different places every day (whether it’s 20 million+ products from 500+ websites or data collected from over 300,000 brick and mortar stores across the country).  We help our customers be more competitive by discovering interesting patterns in this data they can use to their advantage, while being uniquely positioned to be able to do this across both online and instore.

We are looking for a lead-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform.  If you have a passion for optimization, scaling, and integration challenges, this may be the role for you.

What You Will Do

• Think like our customers – you will work with product and engineering leaders to define data solutions that support customers’ business practices.
• Design/develop/extend our data pipeline services and architecture to implement your solutions – you will be collaborating on some of the most important and complex parts of our system that form the foundation for the business value our organization provides
• Foster team growth – provide mentorship to both junior team members and evangelizing expertise to those on others.
• Improve the quality of our solutions – help to build enduring trust within our organization and amongst our customers by ensuring high quality standards of the data we manage
• Own your work – you will take responsibility to shepherd your projects from idea through delivery into production
• Bring new ideas to the table – some of our best innovations originate within the team

Technologies We Use

• Languages: SQL, Python
• Infrastructure: AWS, Docker, Kubernetes, Apache Airflow, Apache Spark, Apache Kafka
• Databases: Snowflake, Trino/Starburst, Redshift, MongoDB, Postgres, MySQL
• Others: Tableau (as a business intelligence solution)