2 Director, Data Analytics Engineer Jobs in Los Angeles, CA

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Director, Data Analytics Engineer

Excess Telecom

Los Angeles, CA | Full Time

$161k-205k (estimate)

1 Month Ago

Hands on Data Engineering Director / Analytics / Onsite in Los Angeles / Relocation package

Motion Recruitment Partners

Los Angeles, CA | Full Time

$127k-156k (estimate)

1 Day Ago

Director, Data Analytics Engineer

Excess Telecom Los Angeles, CA

$161k-205k (estimate)

Full Time 1 Month Ago

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Excess Telecom is Hiring a Remote Director, Data Analytics Engineer

Director, Data Analytics EngineerExcess Telecom, An Affordable Connectivity Program Service ProviderAbout Excess TelecomExcess Telecom is a leading national provider of mobile broadband services through the Affordable Connectivity Program (“ACP”). With subscribers nationwide, we offer market leading services providing underserved communities with subsidized access to the internet via mobile devices. As a high growth company, we are looking for a key leader to add to our growing team with a commitment to ensuring all subscribers receive the best possible service and experience with Excess Telecom. Position OverviewWe are currently seeking an experienced Director, Data Analytics Engineerwho would like to work for an industry leading provider dedicated to changing wireless forever and connecting our customers’ world together. We are looking for someone who can work with both the technical data teams and the business stakeholders to implement and enhance existing data models and data assets. This role is instrumental in making sure our internal and external teams have reliable, accurate and timely data. They are responsible for transforming data, creating reusable insights, applying best practices and transforming that into documentation. This role will lead a team that will support the organization and its stakeholders and vendors. Responsibilities

Identify, collect and integrate data from various sources.
Ensure data quality and consistency.
Design, create and manage databases and data sources to store and organize data efficiently.
Work with already created data models to drive value to the business through processes and reporting.
Partner as a technical liaison between customers and technical teams.
Create visualizations, dashboards, and reports to communicate findings and insights to stakeholders.
Write programs and scripts to automate data processing tasks utilizing programming languages such as Python or SQL.
Apply Machine learning algorithms for predictive modeling and data classification tasks.
Work closely with business analysts, data teams and other stakeholders to understand requirements and deliver actionable insights.
Ensure data security and compliance.
Document best practices in data and pipeline management and work with stakeholders to educate teams on the use of the data.
Manage team of data analyst and data analytic engineer.
Lead and coordinate design/implementation efforts with internal teams and external partners.

Job Requirements

5 years of working in data driven organizations with a bachelor’s degree in computer science or related experience.
Expert in SQL query language.
Strong understanding and experience with development methodologies, including waterfall and agile.
Experience with the integration of systems and data sources.
Create process models and outline requirements for business leaders.
Proficient with Data Analytics tools like Tableau, Sigma and Power BI
Experience in data pipeline management including ETL tools, DBT and Python.
Hands on experience with building data warehouses including Snowflake and AWS.
Working knowledge of Git or other version control systems.
Knowledge of software engineering best practices and experience applying them to analytics code.
Critical thinker and problem solver with ability to communicate to all levels of stakeholders.
Understanding of AI, machine learning and other robotic tools.
Excellent interpersonal skills, including negotiation and problem resolution in a cross-functional team.
Industry Knowledge (Telecommunications) – Preferred