Analyst Special Projects & Performance

Performance Reporting and Analysis

Help in optimizing our performance reporting structure and repeatable process.

Optimize our KPI dashboard with continuous flow of data.

Identify and highlight opportunities for performance improvement.

Develop reporting material in a succinct visual manner.

Analytical support for various forums

Support internal stalk-holders with ad hoc requests both from within the team and Externally from multiple data sources.

Get hands dirty with the data extraction from multiple sources big data sources like AWS Redshift Big Query etc.

Support with building business cases based on available data to forecast and simulate future growth plans.

Deliver unbiased insights to improve customer service and logistics performance.

Building a performance focused culture

Develop a deep familiarity of the source data and its generating systems through documentation interacting with the engineering teams and systematic data profiling.

Contribute heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for different areas of business

Propose product enhancements to improve experience

Contribute to improving our ways of work our tooling and our internal reporting structure.

Qualifications:

   2 to 4 years of working experience in same/similar field.

  Comfortable working with Python for various data analytics and machine learning purposes

  Excellent skills in SQL. Previous experience with Big Query is a plus.

Hands-on experience working with Tableau. Knowledge of Excel and/or Looker is a good plus.

Have good understanding of different types of analytics: Descriptive Diagnostic Predictive and Perspective.

Previous work experience in a technical / data-driven environment is essential.

Very good analytical skills.

Excellent communicator and collaborator at all levels.

Back up your opinions with data and clear well-structured cases.

You are execution focused and have a proven record of success in complex environments.

Results-driven high-performing high-quality work attitude.

Excellent understanding of Data Warehousing data modelling and wider engineering practices.

Familiarity with working alongside with the Product Infrastructure Data Science and engineering teams and similar projects.

Able to proactively analyze big data to discover trends patterns and actionable insights.

Curiosity and willingness to learn about the intersection of business strategy and data technologies.

Ability to learn quickly prioritize tasks and perform under pressure.

Have a high threshold for ambiguity and maintain professional demeanor.

Passionate about the food industry.

Excited by the thought of joining our team.

Believe that you are a fit for our culture and our values. Experience First Make it Happen & Together we grow

Remote Work:

No

Employment Type:

Contract