Sr. Data Analyst

Sr. Data Analyst

This job is no longer open

Vonage is a global cloud communications leader that helps businesses accelerate their digital transformation through our fully programmable Unified Communications, Contact Center Applications, and Communications APIs. 

Our BI & Data Mission: We are a highly creative, energetic and results-oriented team that owns data and analytics delivery for the entire organization. This starts from data ingestion to corporate dashboards and includes data analytics to drive actions. We are passionate about understanding customer needs, motivations, and behavior and enjoys discovering insights that help us deliver better outcomes like revenue growth, better customer experience, customer engagement and customer retention

SOUND INTERESTING? CONTINUE READING BELOW…….

Why this role matters:

As a Senior Data Analyst, you will be helping us on a journey towards a modern, self-serve analytics organization. You will get autonomy and ownership around large parts of how we interface with users, how they’re trained and around defining the boundary between “let me show you how to do this yourself” and “let me do this for you”.

Over the last couple of years, we’ve made significant investments into our data infrastructure and our data processing platform. This has improved the internal team processes, however, there is still room for improvement on enabling self-serve and using advanced analytics techniques to predict what will happen rather than what happened.

Where you will work:

Fully Remote Worker - You will be home based in the USA as opposed to a designated Vonage Office and you will work 100% of the time from home.

Time Zone Requirements: must be based on EST in the United States

Sponsorship Not Available - Legal authorization to work in the USA is required. We are unable to sponsor individuals for employment visas, now or in the future, for this job opening.

What you will do:

  • Work closely with Info Sec teams on upgrading their suite of reports to move to a self-service reporting environment driving efficiencies and cost savings
  • Use data mining techniques and analyze core KPI's generating insight to reach and improve on the target goals 
  • Be our bridge and ambassador to the InfoSec team, championing for self-service data analytics and maintaining relationships with power users
  • Be responsible for coordinating our user facing “Data Academy” education initiative to make sure our users can make the most of the data and reporting that we have
  • Work closely with the rest of the BI & Data team to help make sure the data engineering work being done is well aligned to stakeholder needs
  • Self-service analytics environment: Given the size of the team vs the hundreds of users we support, a large part of your work would be focused on finding ways to scale analytics via empowering our users so they are able to do what they are trying to do independently (while having support and training, if they need it).
    • We’re using a modern analytics stack with Tableau as the visualization front-end and Snowflake as the DWH, where the majority of report development is done by our users, we also use Python, SQL and Airflow
    • Rather than a report mill, the BI & Data team is there to empower and help users get their data and analytics work done themselves

What you will bring:

Required

  • 7+ years of Data Analyst experience
  • Must have strong Python skills
  • Experience working independently with a wide range of stakeholders, from other analysts to senior management
  • Advanced knowledge of fundamental analytical, statistical techniques, attribution results, forecasting, simulation and data optimization
  • Strong technical capabilities with SQL, data warehouses, ETL processes, and data integration tools (Python, R coding/familiarity a plus)
  • Skilled in Tableau or other BI Tools

Desirable

  • Bachelor’s Degree (preferably in Business, Economics, Statistics or Computer Science) and 5+ years of experience in data analytics role (preferably in a SaaS business)
  • MBA or Master’s Degree (preferably in Financial Analytics, Data Science, Operations Research, Industrial Engineering or Computer Science)
  • Have experience driving self-service analytics adoption in a scalable way
  • Worked in an agile environment and were able to bring structure where there was none before

How you will benefit:

  • Medical, Vision, and Dental Coverage
  • Health Savings Account (HSA)
  • Income Protection
  • Maternity & Paternity Leave
  • 401(k) Contributions: Pre-Tax, Roth, or After-Tax Roth Options
  • Unlimited Discretionary Time Off
  • Three Paid Volunteer Days a Year
  • Tuition Reimbursement
  • Voluntary Legal Plan
  • Optum Employee Assistance Program
  • Discount on Auto, Home & Pet Insurance

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

This job is no longer open
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