Analytics Engineer I

Overview:

The Analytics Engineer I plays a key role in supporting the organization's BI systems and data platforms. This individual will focus on learning and assisting with tasks related to data quality, operational efficiency, and real-time analytics. They will work under the guidance of experienced BI Engineers to implement and maintain data ingestion pipelines, monitoring systems, and reporting solutions. This role offers a great opportunity to gain hands-on experience in BI tools like Snowflake Data Cloud, Sigma Computing and develop a strong foundation in data.

Prodege:

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

Primary Objectives:

• Elicit and translate business needs: Collaborate with stakeholders to understand their data and reporting requirements, translating them into actionable technical specifications.
• Transform data into insights: Assist with designing and developing clear dashboards and visualizations, effectively communicating key business metrics and trends.
• Ensure data integrity: Maintain and optimize data pipelines ensuring accurate and timely delivery of data to external systems.
• Cultivate data expertise and stewardship: Develop a strong understanding of our data strategy, actively participating in data governance initiatives and acting as a data steward to ensure data quality, accuracy, and responsible use.

Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties: (typical monthly, weekly, daily tasks which support the primary objectives)

• Visualize insights: Create and maintain dashboards and reports that effectively communicate key business metrics and trends.
• Maintain and enhance data feeds to external partners, ensuring accurate and timely synchronization of business information
• Data Ingestion: Ingest, transform, and integrate data from various partners
• Ad-hoc reporting: respond to data requests and perform exploratory analysis to support decision-making and identify opportunities.
• Champion data quality and integrity, ensuring compliance with data governance policies and best practices

What Success Looks like:

Success in the Analytics Engineer I role entails becoming a trusted data partner, empowering the organization with insightful visualizations and ensuring data reliability. You will bridge the gap between business needs and data insights, fostering a data-driven culture through effective collaboration and clear communication. By maintaining critical data pipelines and championing data quality, you'll ensure the integrity of our data ecosystem while continuously developing your skills to become a valuable data expert, ultimately contributing to the achievement of our strategic objectives.

The MUST Haves: (ex: skills, education, experience, certifications, licenses)

• At least One (1) year of experience working with data in a technical or analytical role.
• Basic knowledge of SQL and at least 1 scripting language.
• Understanding of databases, both OLTP and OLAP
• Strong analytical and problem-solving skills, capable of managing complex BI projects and delivering solutions that meet business needs.
• Excellent communication and collaboration abilities, with a propensity for cross-functional teamwork and knowledge sharing.
• Continuous learner with a passion for staying current with industry best practices and emerging BI technologies.

The NICE to Haves:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field; master’s degree or industry-specific certifications preferred.
• Experience with Snowflake, Sigma Computing, dbt, Airflow or python