2 days ago

Data Solutions Specialist (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build scalable data measurement frameworks and define how data is collected, ingested, and analyzed to solve operational business challenges. You’ll work with structured and unstructured data, identify trends and client needs, and collaborate with data engineering and product teams to deliver data products and solutions. Present analytics results to business stakeholders and help implement systems improvements using SQL, Spark, Hive/ClickHouse, and BI dashboards.

Location: New York

Employment Type: Full time

Job Function: Product Management

Seniority: Entry level

Key Responsibilities

•Determine and apply data measurement methods to build scalable measurement frameworks for business challenges.
•Identify and collect large structured and unstructured data and variables.
•Analyze collected data to determine trends and client business needs.
•Collaborate with cross-functional teams (data engineering and product) to strategize and execute development of data products and solutions.
•Present analytic results to business stakeholders to resolve operational problems and implement systems improvements.

Pay and Benefits

Salary: USD 109,491 - 168,000 annually

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science, Engineering, Data Science, Business Analytics, Statistics, Mathematics, or a related field with 1 year of related work experience, OR a Bachelor’s degree (or foreign equivalent) with 3 years of related work experience.
•1+ year experience performing data analysis and data ingestion/integration.
•Develop ETL applications using SQL or Python.
•Use SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including HiveSQL and ClickHouse (or SQL).
•Use BI visualization tools to design and maintain dashboards, track KPIs, and provide self-service insights to stakeholders.

Experience:1-3 years

Education:Master's in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related field

Skills:Problem-solvingData analysisCross-functional collaborationStakeholder communication

Tech Stack:SQLPythonETLSparkApache HiveHiveSQLClickhouseBI visualization toolsDashboardsData ingestionData integration

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

Data Solutions Specialist (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: New York

Employment Type: Full time

Job Function: Product Management

Seniority: Entry level

Key Responsibilities

•Determine and apply data measurement methods to build scalable measurement frameworks for business challenges.
•Identify and collect large structured and unstructured data and variables.
•Analyze collected data to determine trends and client business needs.
•Collaborate with cross-functional teams (data engineering and product) to strategize and execute development of data products and solutions.
•Present analytic results to business stakeholders to resolve operational problems and implement systems improvements.

Pay and Benefits

Salary: USD 109,491 - 168,000 annually

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science, Engineering, Data Science, Business Analytics, Statistics, Mathematics, or a related field with 1 year of related work experience, OR a Bachelor’s degree (or foreign equivalent) with 3 years of related work experience.
•1+ year experience performing data analysis and data ingestion/integration.
•Develop ETL applications using SQL or Python.
•Use SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including HiveSQL and ClickHouse (or SQL).
•Use BI visualization tools to design and maintain dashboards, track KPIs, and provide self-service insights to stakeholders.

Experience:1-3 years

Education:Master's in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related field

Skills:Problem-solvingData analysisCross-functional collaborationStakeholder communication

Tech Stack:SQLPythonETLSparkApache HiveHiveSQLClickhouseBI visualization toolsDashboardsData ingestionData integration

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn