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Power Digital Marketing is a dynamic tech-enabled growth firm situated at the crossroads of marketing, consulting, and data intelligence. The company is dedicated to boosting revenue and enhancing brand recognition for both established and emerging companies on a global scale. Power Digital places a strong emphasis on the value of diversity in its workforce, affirming that a rich array of backgrounds and experiences is essential to its success. The firm champions its people and culture, aspiring to be the most respected private growth marketing firm, recognized for its scalability in brand services and corporate culture. The mission is to empower the relentless pursuit of growth, leveraging a team of dedicated experts who necessitate innovation and results driven by integrity and grit.
As a full-service growth marketing firm, Power Digital offers a comprehensive suite of best-in-class services, which include SEO, Content Marketing, Paid Media, Public Relations, Influencer Marketing, and Conversion Rate Optimization. Central to its operations is the proprietary technology known as nova, which facilitates businesses’ analysis via first-party data, optimizing investment planning in marketing initiatives and market diligence. The firm’s analytical capabilities allow marketers to have a strategic role, offering unique value to clients with the support of a vibrant team that challenges conventional methodologies through data science and meticulous testing.
In the role of Analytics Engineer, the primary responsibility is to maintain and enhance the novaCloud data warehouse, which underpins analytics for performance marketing, eCommerce, and site activity. This role demands collaboration with various teams to gather data requirements, devise and oversee data pipelines, and guarantee the accuracy and dependability of the data. The Analytics Engineer will also engage in maintaining the enterprise warehouse, crucial for evaluating client-generated revenue and managing metrics around client performance, churn, and financial forecasting.
Data Model Development: Assist in the creation and upkeep of analytics-ready data models, mainly utilizing star and snowflake schemas, under the guidance of senior engineers.
SQL Queries: Write and refine SQL queries and transformations that enhance data retrieval efficiency while adhering to best practices.
Pipeline Monitoring: Monitor the data pipelines, engaging in debugging processes and collaborating with senior engineers to address issues.
Data Quality Checks: Implement data quality validation checks and resolve discrepancies as they arise.
Collaboration: Work closely with stakeholders to transform their data requirements into structured models, supporting data marts and ensuring accessibility.
Documentation Maintenance: Maintain clear documentation for data models, transformations, and business definitions to foster consistency and transparency.
Dashboard Development: Develop and maintain Looker dashboards and reports to deliver actionable business insights.
Process Improvements: Identify opportunities for optimizing data pipelines and transformation tools by leveraging AI technologies.
The ideal candidate for the Analytics Engineer position should possess the following qualifications:
Experience: 1-3 years in data model design and implementation, focusing on analytics and business intelligence, alongside proficient SQL experience for data transformations (with exposure to ETL/ELT processes).
Problem-Solving Skills: Strong capabilities in troubleshooting data discrepancies and performance optimizations.
Cross-Functional Collaborations: Proven experience in working with cross-functional teams, including data engineers and product stakeholders, to understand and fulfill data needs.
Education: Bachelor's degree or equivalent experience in fields such as Computer Science, Information Technology, or Data Analytics.
The key performance indicators (KPIs) that the incumbent will be accountable for include:
Timely resolution of all data-related support tickets, ensuring critical issues are resolved within one business day.
On-time delivery of scheduled tasks and enhancements concerning data models.
Contribution to maintaining data model documentation, reflecting changes and updates in a timely manner.
Power Digital offers attractive benefits to its employees, which include:
Competitive base salary with commission opportunities.
Medical bonuses and generous vacation time (15 PTO days per year).
Paid Volunteer Time Off (VTO) and remote work opportunities.
A Work From Home stipend to cover expenses.
Extensive employee assistance programs, mental health days, and leadership development opportunities.
Recognition programs and quarterly awards for outstanding performance.
This position demands a strategic thinker with a passion for data and an eagerness to learn within a fast-paced environment. By joining Power Digital Marketing as an Analytics Engineer, candidates will be positioned within a trailblazing company, where they can significantly contribute to cutting-edge data strategies that empower growth and optimize business performance.
This job offer was originally published on himalayas.app
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