Sr Data Analyst - Remote

Remote Jobs

New York (NY)

A distancia

USD 90.000 - 130.000

Jornada completa

Hace 10 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

NAVA Software solutions is seeking a Sr. Data Analyst to leverage machine learning and predictive analytics to solve high impact business challenges across Insider Intelligence.

This role is part of a small team of Data Scientists/Analysts building the Data platform to support the commercial needs of a research organization. The ideal candidate is an analytical powerhouse with strong data translation skills, excellent communication, and the ability to collaborate across strategy and finance

Formación

  • Expert SQL skills and data analysis proficiency.
  • Experience with BI dashboards and data visualization.
  • Familiarity with ML/predictive analytics.
  • Knowledge of Snowflake data platform is a plus.
  • Experience in B2B or enterprise environments is a plus.

Responsabilidades

  • Participate in Data Science projects developing machine learning models to drive positive revenue outcomes.
  • Maintain Insider Intelligence data infrastructure.
  • Develop reporting dashboards in PowerBI or another BI platform.
  • Support the collection and integration of data across various sources and systems.
  • Audit website analytic instrumentation to ensure that tags are firing correctly and data flowing into Snowflake accurately capture all aspects of user engagement.
  • Create a data dictionary and document the data model, tables and entities relationships.

Conocimientos

SQL
Python
BigData
Data Analytics

Herramientas

Power BI
Snowflake
AWS SageMaker
Hadoop
Apache Spark

Descripción del empleo

NAVA Software solutions is looking for a Sr. Data Analyst for one of our clients.

Details:

Sr. Data Analyst

Duration: Full time / Direct Hire

Location: 100% Remote but candidate must be in below states

Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC

Skills: SQL, Python, BigData, Data Analytics

As a Data Analyst, you will leverage machine learning and predictive analytics to solve high impact business challenges across Insider Intelligence. This role is part of a small team of Data Scientists/Analysts building up the Data platform to support the commercial needs of a research organization.

The Ideal Candidate Is
  • Committed to fostering an inclusive culture and values a representative workplace that embraces diversity of thought and experience.
  • An analytical powerhouse who enjoys working with data to translate our vision for the future of the company into actionable reports.
  • An exceptional communicator with a knack for making complex topics simple and using financial information to guide our investment and business decision making to achieve our ambitious growth plans.
  • A self-motivated independent worker with the required attention to detail to accurately depict and analyze our performance.
  • An avid collaborator who enjoys working with different business teams as well as partnering with the strategy and finance teams.
Responsibilities
  • Participate in Data Science projects developing machine learning models to drive positive revenue outcomes.
  • Maintain Insider Intelligence data infrastructure.
  • Develop reporting dashboards in PowerBI or another BI platform.
  • Support the collection and integration of data across various sources and systems.
  • Audit website analytic instrumentation to ensure that tags are firing correctly and data flowing into Snowflake accurately capture all aspects of user engagement.
  • Create a data dictionary and document the data model, tables and entities relationships.
Desired Skills And Experiences
  • Expert knowledge of SQL.
  • Familiarity with a Business-to-Business environment demands and a Cloud Data Science Platform (AWS- Sagemaker) is beneficial.
  • Python programming with knowledge of distributed computing (Hadoop, Apache Project).
  • Power BI development skills.
  • Knowledge of the Salesforce data model and a B2B business environment is a plus.
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