Senior Analyst

2 months ago


Detroit, Michigan, United States Campbell Ewald Full time
Campbell Ewald

At Campbell Ewald, we believe the things that make us different, make us better. We focus on creating a culture of belonging with a commitment to learning, growth and anti-racism.

Were a diverse bunch of thinkers and makerscurious, fun, passionate, and obsessed with helping our clients, ourselves and each other thrive.

But dont just take our word for it. We were named one of the Ad Age Best Places to Work for 2021. And while we appreciate the industry nod, whats more important is that were impacting culture.

Sound interesting? We hope youll join usCampbell Ewald is looking for an energetic and experienced Senior Analyst to join our fun and expanding Analytics group.

As part of the Analytics group, you will have the opportunity to help define and develop cloud-based data solutions and infrastructure for the agency.

The successful candidate will be integral in driving the data technology roadmap delivery, and ensuring business data is seamlessly managed and secured within the enterprise.

The candidate will have a mix of technical background and strong business acumen that will enable them to draw meaningful business conclusions and insights from a wide variety of data sources and structures.


Key Responsibilities:

Assist in the definition of CEs data architectural strategy, data roadmap, operational plan, and life cycle management, to enable the organization to achieve its business strategy and financial performance targets, in addition to ensuring consistency of the enterprise data architecture.

Assist in the data engineering and integration process to create data pipelines and model new data sets into data warehousing systems.

Develop architecture supporting end-to-end data integration process using ETL and ELT, for structured and un-structured data.

Write complex SQL queries for purposes of analyzing data and evaluating how information needs would be translated into backend database structures.

Design and recommend business intelligence and data visualization solutions aimed at providing clients clear actionable insights, in a simple yet effective way.

Collaborate with cross-functional teams to create and implement data strategies, design, and build robust data flows and develop conceptual data models.

Assist in the technical implementation of tag management solutions to ensure all functions of tagging, troubleshooting, QA and maintenance are performed accurately.

Work closely with team members to identify any gaps in data capture, and proactively recommend and implement data enhancements. Partner with team leads to implement and maintain best practices around data strategy and analytics.

Qualifications:
Bachelors degree in Computer Science or other technical discipline.

5+ years of experience of data engineering solutions development (including data and analytics), enterprise architecture, and integration with downstream transactional systems.

Data integration skills in ETL (cloud-based solutions, SSIS, or similar), enterprise data management solutions, report writing, SQL authoring, API protocols, and requirements gathering and documentation.

Extensive data design and architecture experience with a focus on data warehouses, reporting, data lakes, aggregation, and integration such as BigQuery and Domo (both a must).

Others including Snowflake, Amazon Redshift, Oracle, and MS SQL Server are preferred but not required. Extensive experience with GCP services a must. Other cloud services a plus. BI solutions experience in Domo (a must), Tableau, Power BI, Looker Data Studio. Preferred hands-on software development experience, including but not limited to JavaScript, HTML, C++/C#, CSS, PHP, and Python. Tag management experience, with Google Tag Manager (a must). Others including Adobe Launch, Tealium iQ and ObservePoint preferred. Prior agency experience preferred. Digital analytics experience including site taxonomy, visitor intent, segmentation, website structure, voice of customer, CRM, user behavior, a

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