Lead Data Analyst - s - Hudson Square, NY OR Los Angeles, CA

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New York, US
Hybrid

Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Synergent Tech Solutions, is seeking the following. Apply via Dice today!

Position: Lead Data Analyst

Location: Hudson Square, NY OR Los Angeles, CA

Duration: 6 Months+

ONLY LOCALS TO NEW YORK OR CALIFORNIA PLEASE.

THIS IS A HYBRID ROLE 4 DAYS INOFFICE AND 1 DAY REMOTE.

PRIOR EXPERIENCE WITH DISNEY / ENTERTAINMENT INDUSTRY WILL BE A ADDED ADVANTAGE.

Description:

Our esteemed client is seeking a Lead Analyst of Data Analytics who will be an outstanding addition to the Product & Tech Analytics Experimentation team to support out Quality of Experience Analytics practice. The team partners with other teams across the business to turn data into information, information into insights and insights into key business decisions that steer the strategic direction of the company.

The right person for this role thrives in a fast-paced environment, loves problem-solving and is a good communicator. If you are someone who gains personal happiness from transforming data into knowledge for business insights, then this is a phenomenal role for you.

You will design innovative analytic approaches to test hypotheses, extract actionable insights by identifying patterns in structured and unstructured data, and develop recommendations to drive business performance. You will be instrumental in leading the use of analytics as a critical value driver across our organization.

Core Responsibilities:

The responsibilities emphasized were:

Designing and evaluating A/B experiments

Applying statistical methods, including:

Hypothesis testing o Statistical significance

P-values

Performing deep exploratory and root cause analysis

Working directly with large-scale engagement and subscription data

Acting as a bridge between technical analysis and business insights

Presenting findings to:

Product managers

Engineers

Other stakeholders

Dashboarding was described as secondary; the work is primarily hands-on analysis and experimentation, not BI reporting.

Required And Preferred Skill Sets Required / Core Skills

Advanced SQL (described as the most prominent daily skill)

Python, including:

Data manipulation (e.g., pandas, Spark)

Exploratory data analysis

Supporting automation pipelines

Strong statistics background (data science light)

Critical thinking and problem-solving

Comfort working with messy, large datasets

Ability to present insights clearly to stakeholders

Preferred / Nice-to-Have :

Experience with:

Snowflake

Databricks

Familiarity with experimentation in:

Ads platforms

Subscription or engagement-based services

Industry background:

Media & entertainment is helpful but not required

Telecom or other subscription-based industries were explicitly mentioned as transferable Explicitly Not Required

Deep expertise in visualization tools (e.g., Looker, Power BI, MicroStrategy)

Formal people management experience Seniority and Experience Expectations

Targeting 6+ years of experience (minimum)

Candidates must be able to hit the ground running

This is a lead-level role by experience, not by people management

Team leadership experience is not required Contract Details and Conversion Potential

Initially described as a 6 month contract covering leaves of absence

New information shared:

There is potential for extension

Possible conversion to full-time if performance is strong and future headcount is approved

Vendors were advised not to overpromise conversion language in the short term

Education Requirements

For contract work: experience is the primary qualification

For potential full-time conversion:

A STEM or analytics-related educational background would be required

Location and Work Model

Candidate location:

New York

Los Angeles (Santa Monica office)

Work model:

4 days per week in-office (official policy)

Some flexibility at the team/manager level

Start timing:

As soon as possible, due to multiple team members currently on or about to begin leave

Interview Process Outlined clearly as:

  • Initial technical screen (SQL-focused)
  • Hiring manager interview
  • Final panel interview
  • Approximately three business case / analytical questions

Skills & Requirements

Technical Skills

SqlPythonStatisticsData manipulationExploratory data analysisA/b testingProblem-solvingCommunicationData analyticsProduct & tech analytics

Employment Type

FULL TIME

Level

lead

Posted

4/17/2026

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