Senior Data Analyst

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related fields., Over 5 years of experience in data analytics, preferably in marketing or e-commerce., Proficiency in SQL and Python or R for data analysis., Strong knowledge of A/B testing, data visualization, and working with large datasets in cloud environments..

Key responsibilities:

  • Pre-process and cleanse large, complex data sets to identify campaign opportunities.
  • Design, measure, and interpret A/B tests to evaluate campaign effectiveness.
  • Develop ETL processes to enable rapid ad-hoc data analysis.
  • Create clear data visualizations and dashboards to communicate insights.

Session AI logo
Session AI SME https://www.sessionai.com/
51 - 200 Employees
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Job description


Are you ready to make your mark with a true industry disruptor? ZineOne, a subsidiary of Session AI, the pioneer of insession marketing, is looking to add talented team members to help us grow into the premier revenue tool for ecommerce. We work with some of the leading brands nationwide and we innovate how brands connect with and convert customers.

Role Overview :

Role:

The Senior Data Analyst will focus on preprocessing large, often disparate, data sets in order to identify opportunities for additional campaigns to answer large and complex internal or external questions. Strong technical skills as well as an acumen for data visualization allowing for rapid resolution and answers of common questions. Attention to detail and accuracy are critical.

The Senior Data Analyst will have expertise working with high volumes of structured data (and ideally unstructured as well) in a cloud environment, experiment design, building ETL and data aggregation tools. The ideal candidate will have worked in a similar function at another highperformance company.


Key Responsibilities

  • Ability to “data wrangle” known or new data sources by examining data, cleanseprepare it as needed by removing duplicates, identifying and correcting illogical entries, and creating KPIs and compound metrics used to evaluate the effectiveness and “tell the story” of each campaign
  • Designing, measuring, and interpreting AB tests
  • Develop ETL processes to preprocess data to ensure that adhoc questions can be answered rapidly
  • Be the analytic expert on all data sources, attributes and internal tools for the organization as it relates to answering adhoc questions
  • Continually innovate and enhance ROI and performance computations to create additional insights from business KPIs such as revenue or conversion lift
  • Create compelling and uncluttered data visualizations in presentations and dashboards allowing for a clear understanding of the overall story
  • Balance multiple projects and accompanying timelines
  • Work collaboratively within members of multiple teams to meet aggressive goals and predefined measurement criteria
  • Develop requirements of more common requests to be implemented in the product for automated access
  • Ensure the accuracy, reliability, and integrity of the data through effective quality assurance processes.

    • Key Skills

      • Expertise with Python andor other open source analytic languages is critical
      • Expertise with SQL andor other database querying languages critical
      • Understanding and working knowledge of at least one BI tool, such as Tableau, with experience in data visualization techniques
      • Experience working with large data sets, ideally in a cloud environment such as AWS.
      • And ideal candidate would also have experience designing, measuring and interpreting AB tests in an ecommerce environment
        • Ancillary Skills

          • Attention to detail to identify gaps in information (e.g. data definitions not clearmissing) and resourcefulness and confidence to track down the necessary information
          • Ability and willingness to collaborate and brainstorm with internal teams to identify opportunities and solutions
          • Strong organizational and oral written communication skills to lead or facilitate discussions over the phone and with remote teams
            • Education and Qualification

              • Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.
              • 5+ years of experience in data analytics, ideally in a marketing or ecommerce environment or an analyticallydriven role (analytics, consulting, ecommerce, etc.)
              • Strong working knowledge of SQL andor experience with Python or R
              • Practical and theoretical knowledge of AB testing
              • Excellent communication and presentation skills.
              • Ability to translate complex data findings into actionable business strategies.
              • Strong interpersonal skills and ability to work crossfunctionally and influence both technical and nontechnical audiences
              • Ability to think creatively and critically and thrive in a fastpaced, dynamic, and often ambiguous work environment
                • Benefits

                  • Competitive salary and stock options
                  • Opportunity for continuous learning
                  • Fully sponsored EAP services
                  • Excellent work culture
                  • Opportunity to be an integral part of our growth story and grow with our company
                  • Health insurance for employees and dependents
                  • Flexible work hours
                  • Remotefriendly company

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Organizational Skills
  • Detail Oriented
  • Collaboration
  • Communication

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