E-commerce Data Analyst - Los Angeles, United States - Consensus Cloud Solutions

Mark Lane

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Mark Lane

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Description

Consensus Cloud Solutions is a publicly traded, leading digital cloud fax and interoperability solutions organization in the United States and globally, focusing on connecting and empowering healthcare providers, payers, care teams, and technology innovators to unify multiple systems that wouldn't otherwise talk to each other.

Consensus is a trailblazer in our industry and believes that data transformation will reshape the world of healthcare.


Founded over 25 years ago, Consensus leverages its technology heritage to move from simple digital documents to advanced healthcare standards (HL7/FHIR) for secure data transport, as well as Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert unstructured to structured, analytics-ready data, helping users unveil information that is meaningful and actionable for better patient care.


With more than 11 million users worldwide, Consensus leads the industry in data exchange solutions and we're only getting started With exciting new initiatives on the horizon, we are continuing our strategic expansion and we are looking to add to our diverse team of innovators.


Now is the ideal time to join us in our mission to solve healthcare's biggest challenges, and work collaboratively with a diverse team of like-minded self-starters and partners to accomplish it.

Consensus Cloud Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We offer many remote and hybrid career opportunities.


How you will impact the organization


This role will be critical in extracting actionable business insights from customer data to guide strategic decision making and priorities for the eCommerce and broader marketing and sales teams.

This individual will primarily focus on areas of customer acquisition and retention to identify opportunities for spend optimization, growth and reduced churn.


The value you will deliver

  • Structure data to extract actionable insights in areas such as customer acquisition, lifetime value and campaign effectiveness.
  • Manage endtoend data analysis tasks, including data extraction, cleaning, analysis and interpretation.
  • Conduct regular competitive evaluations, identifying recent market developments and opportunities.
  • Partner with technical teams to improve data instrumentation.
  • Create dashboards and visualizations to communicate insights to relevant business stakeholders.
  • Prepare weekly, monthly, quarterly and annual reports for the eCommerce business.
  • Collaborate with crossfunctional teams to align business objectives with data analysis.
  • Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

What you will bring to the table

  • 4+ years experience as an ecommerce or web marketing data analyst / data scientist, preferably in a SaaS ecommerce environment.
  • 4+ years of experience interpreting and analyzing data using statistical techniques and delivering ongoing reports.
  • 4+ years of experience with data mining techniques to extract significant insights from large datasets.
  • 4+ years of experience building predictive models from observed datasets.
  • 4+ years of experience working within SaaS eCommerce operations, customer retention strategies and marketing performance metrics.
  • 4+ years experience as a power user of Google Sheets, familiarity with most core functions and able to leverage functions to make data evaluations scalable, advanced knowledge of regex syntax and how and why to use regex functions in Google Sheets, creating data visualizations using graphs / pivot tables / conditional formatting, etc.
  • 2+ years experience in Salesforce creating reports within SFDC if required and articulating clear reporting requirements to external resources.
  • 2+ years experience in Tableau understanding the capabilities and limitations of the platform and can provide clear requirements to drive automated reporting.
  • 1+ years experience in Database SQL, ability to read and understand SQL structure
  • Advanced understanding of data science methodologies including statistical analysis, data mining and predictive modeling.
  • Experience using data to drive decision making with a highly analytical mentality.
  • Exceptional attention to detail.
  • Experience presenting data to a variety of audiences in a manner that tells a story.
  • Strong problemsolving and critical thinking skills.
  • Ability to successfully work independently at times and also collaborate interdepartmentally.
  • Ability to achieve your own KPIs while also supporting other team members in hitting their own KPIs.

You will stand out if you also have

  • Experience with SQL and familiarity with database management.
  • Experience with statistical programming languages such as R or Python.
  • Experience with GA4.

Additional details

  • Location requirements: Fully remote wit

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