Timescale

Marketing Data Engineer

United States

Timescale Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Marketing, Data & AnalyticsIndustries

Requirements

Candidates should possess strong analytical skills with proficiency in using data analysis tools such as Google Analytics, Excel, Tableau, and SQL. Experience with CRM/marketing automation platforms like HubSpot is a plus. They should demonstrate the ability to analyze large datasets, identify trends, and provide actionable insights, along with strong attention to detail and the capacity to spot data anomalies.

Responsibilities

As a Marketing Data Engineer, the individual will develop and maintain marketing dashboards to provide insights into campaign effectiveness and overall marketing performance. They will prepare detailed reports on marketing campaign performance, highlighting successes and areas for improvement, and assisting in developing marketing forecasts and budget allocation recommendations. Furthermore, they will measure the effectiveness of various marketing touchpoints and their impact on the customer journey, monitor and analyze web traffic, and collaborate with the team to drive measurable results.

Skills

Google Analytics
Excel
Tableau
SQL
CRM
Marketing Automation
HubSpot
Data Analysis
Web Traffic Analysis

Timescale

Time series data management and analytics

About Timescale

Timescale specializes in managing time series data through its main product, TimescaleDB, which is an open-source database designed to efficiently handle large volumes of data points collected over time. Built on PostgreSQL, TimescaleDB offers reliable performance and operational efficiency. The company serves various industries, including IoT and financial services, enabling clients to analyze and gain insights from time series data for improved decision-making and automation. Timescale differentiates itself by providing both on-premise and cloud-based solutions, along with a freemium model that allows users to access the core product for free while offering premium features and enterprise support for revenue. The goal of Timescale is to enhance how businesses manage and analyze time series data, making it easier and more effective for organizations to leverage their data.

Key Metrics

New York City, New YorkHeadquarters
2015Year Founded
$179.8MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees

Risks

Increased competition from Neon offering serverless Postgres databases.
Rebranding as a cloud company may confuse existing customers, risking churn.
Growing popularity of serverless platforms challenges Timescale's traditional offerings.

Differentiation

TimescaleDB is built on PostgreSQL, ensuring reliability and operational efficiency.
Offers both on-premise and cloud-based solutions, catering to diverse business needs.
Freemium model with open-source core attracts a large user base.

Upsides

Increased adoption of edge computing aligns with Timescale's time-series database offerings.
Rise of serverless computing creates opportunities for scalable, on-demand resources.
Growing trend of digital twins boosts demand for robust time-series data management.

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