Manager, Analytics & Data Science

United States

Full Time Senior-level / Expert USD 120K+
Cohesity logo

Cohesity

Eliminate mass data fragmentation with Cohesity's next-gen data management. Begin with backup, gain instant recovery. Learn more today.

View all employer listings

Apply now Apply later

Cohesity is on a mission to radically simplify how organizations manage their data to unlock limitless value. We make it easy to back up, manage and derive value from data while protecting data against ransomware attacks. At Cohesity, we’re encouraged to think big and we take on dynamic goals that require innovative thinkers. Obsession with our customers keeps us humble and drives us to keep learning.

We’ve been named a Leader by multiple analyst firms, and are prominently featured in the Forbes Cloud 100 and CRN’s Coolest Cloud companies.

Manager, Analytics & Data Science

US - Remote 

As a Business Intelligence Manager in the Office of the CEO, you will be responsible for empowering data driven decision making across the business on strategic, multi-functional projects. You will develop standardized metrics around the company’s growth, and create reporting and visualizations of that data to drive key decisions. You will partner with cross functional teams on ad-hoc analyses, and provide strategic support to the executive team. The ideal candidate is a highly motivated and resourceful individual who seeks to “tell the story” of the data with little direction or supervision

HOW YOU’LL SPEND YOUR TIME HERE

  • Develop a deep understanding of key company growth metrics, reporting tools, and data structure in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools
  • Create a standardized repository of growth metrics across the business by collaborating with cross functional stakeholders, such as finance and sales, to understand their datasets from start to finish and compiling relevant datasets into easy to digest executive level reports
  • Create both ad hoc and systematic reporting and visualizations of growth related metrics
  • Conduct analyses and draw actionable conclusions from key metrics tracked for the executive team
  • Manage reporting requirements as project-driven tasks with documented requirements, timelines, and milestones
  • Partner closely with the data warehouse team to architect data-driven solution to operations reporting requirements
  • Document techniques and train team members on self-service reporting

OUTCOMES

  • Create executive level reporting around key growth levers across the business
  • Standardize growth driven metrics across the company
  • Derive data-driven insights to solve Cohesity’s most complex strategic problems

WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING

  • BA/BS degree in Information Systems, Business Management or related field, desired
  • 8+ years of Analytics report development using enterprise reporting tools such as Tableau/ Power BI
  • At least 3-5 years T-SQL development
  • Significant experience with Tableau
  • Experience with advanced SQL queries
  • Experience with dbt, Python, and Airflow would be a plus
  • SQL Server skills including SQL objects development, performance tuning, data analysis, integration and stored procedure development
  • Experience with the following Data Sources – JIRA, SFDC, NetSuite , Big Query, MongoDB
  • Experience with any database, preferably Snowflake 
  • Experience delivering reports and dashboards 
  • Ability to create meaningful datasets
  • Ability to understand, document and communicate business requirements to the technical team
  • Strong analytical skills
  • Ability to work quickly/accurately on multiple projects
  • Must be able to understand end results and provide creative solutions
  • Good communication skills
  • Proven problem solver

Disclosure Pursuant to Applicable State Equal Pay Transparency Laws 

This position has a minimum base salary starting at $120,000/year. Bonus, commission (if in a sales function), and/or equity may be eligible for this position. Additionally, full-time employees are eligible for benefits including health and wellness benefits, vacation, paid holidays, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.

Data Privacy Notice for Job Candidates:

For information on personal data processing, please see our Privacy Policy.

Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. 

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance.

COVID-19

Cohesity requires all employees who enter its U.S. offices to be fully vaccinated against the COVID-19 virus and to provide documented proof thereof. Cohesity will comply with applicable law regarding the reasonable accommodation of individuals who are not vaccinated because of a sincerely held religious belief, disability or medical condition. This vaccination requirement does not apply to employees who work remotely and do not enter Cohesity offices.

Tags: Airflow Business Intelligence Data analysis Finance Jira MongoDB Power BI Python Snowflake SQL Tableau T-SQL

Perks/benefits: Career development Equity Health care Insurance Salary bonus

Region: North America
Country: United States
Job stats:  6  1  0
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.