Data Driven Innovation Leader

6 days ago


New York, New York, United States Phaxis Full time

Phaxis is a cutting-edge organization that values innovation and data-driven decision making.

The estimated salary for this role is $162,500 to $202,000 per year, plus bonus.

Job Overview

This senior analytics position offers the opportunity to lead and mentor a team of talented engineers, driving key data initiatives across the organization.

You will collaborate closely with business, product, and engineering teams to define project objectives, resolve technical challenges, and ensure successful delivery of data-driven solutions.

In this role, you will leverage your expertise in Python, SQL, and data modeling to provide actionable insights, develop advanced statistical and machine learning models, and create powerful visualizations that influence strategic decisions.

Key Responsibilities:
  • Lead and mentor a team of analytics engineers, managing project scope, addressing technical roadblocks, and ensuring the team meets deadlines.
  • Translate business requirements into technical solutions, applying software engineering best practices from inception through to implementation and final presentation.
  • Utilize Python and SQL (dbt preferred) to design, build, and optimize data pipelines for transforming, validating, and aggregating data from multiple sources.
  • Design and develop interactive Tableau dashboards to track key business metrics and support exploratory data analysis for various stakeholders.
  • Develop and apply statistical models and machine learning techniques to analyze data, forecast trends, and test hypotheses.
  • Convert data findings into clear, actionable recommendations and create phased execution plans to drive measurable improvements in business outcomes.
  • Collaborate cross-functionally with engineering, product, and business teams to stay aligned with the evolving data landscape and business needs.
Requirements:
  • Bachelor's degree in Computer Science, Economics, Mathematics, Statistics, or a related technical field.
  • 5 to 9 years of experience in data engineering, analytics, or a related role.
  • Proven expertise in SQL, with experience in dbt (preferred).
  • Strong proficiency in Python, including libraries such as Pandas, for data analysis and manipulation.
  • In-depth knowledge of data modeling, relational databases, and OLAP structures.
  • Familiarity with data science methodologies and machine learning techniques.
  • Experience with business intelligence tools like Tableau, Looker, or PowerBI.
  • Understanding of data governance principles, including data stewardship, traceability, and lineage.
  • Excellent communication skills, including the ability to clearly present technical findings to non-technical stakeholders.


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