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Analytics Engineer

7Rivers

Business Consulting and Services · 11-50 employees

Aug 12
data-analyst Senior (5-10 yrs) Full-time
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About the role

The Analytics Engineer will bridge the gap between data engineering and analysis by designing scalable data solutions and building interactive visualizations. They will also collaborate with cross-functional teams to perform complex data transformations and deploy machine learning models.

What they look for

Data visualization Data engineering SQL Python R Snowflake AWS GCP Azure Hadoop Spark Tableau Power BI Looker Apache Airflow Dbt

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 5 years of experience in analytics engineering. Proficiency in SQL, Python, or R, along with hands-on experience in cloud platforms and data visualization tools, is required.

Benefits

Healthcare coverage Dental plans Vision care 401k options Company matching Unlimited PTO Professional development Training Certifications Mentorship Coaching

Full description

Company Overview:

 

Leveraging AI and data together provides powerful insights that help businesses and individuals make informed decisions. It enables us to analyze trends, identify patterns, and understand behaviors, which lead to improved efficiency, better strategies, and innovation.

 

At 7Rivers, we specialize in helping business leaders unlock the potential of their data with cutting-edge AI solutions. We transform raw data into actionable insights and real-world applications that drive progress. Whether it’s establishing a more modern AI-driven data foundation, assessing your data and processes to pinpoint high-value use cases, or implementing Enterprise LLM solutions and Data Native™ applications, we’re here to guide you. Navigate the rapidly changing business landscape with us on your journey to becoming a more augmented enterprise.

 

Analytics Engineer | Role Description:

As an Analytics Engineer at 7Rivers, you will be the bridge between data engineering and data analysis. You will play a crucial role in transforming raw data into powerful, business-ready insights. We need someone who is not only proficient in building visually compelling data visualizations but also has a deep understanding of the engineering side of analytics, including data migration, manipulation, and transformation.

In this role, you will collaborate with data scientists, software engineers, and business stakeholders to design and implement scalable data solutions that drive business impact. Your work will be central to helping our clients leverage their data to make informed decisions and gain a competitive edge.

 

Key Responsibilities:

·         Design and build interactive, intuitive, and aesthetically pleasing dashboards and reports using tools like Tableau, Power BI, or Looker.

·         Work closely with data engineers to ensure data pipelines are optimized for performance, reliability, and scalability. Participate in the design and implementation of ETL processes.

·         Lead the migration of data from legacy systems to modern data platforms, ensuring data integrity and minimizing downtime.

·         Perform complex data transformations to prepare data for analysis, including cleaning, aggregating, and integrating data from multiple sources.

·         Partner with data scientists to develop and deploy machine learning models, and with software engineers to integrate analytics into AI-infused applications.

·         Stay up to date with the latest technologies and best practices in data engineering, analytics, and AI to continuously improve our solutions.

·         Apply your analytical skills to solve complex data challenges and provide actionable insights to clients.

 

Key Qualifications:

·         Bachelor’s degree in Computer Science, Data Engineering, Analytics, or a related field. A master’s degree is a plus.

·         5+ years of experience in an analytics engineering or similar role, with a strong background in both data visualization and data engineering.

·         Proficiency in SQL, Python, or R. Strong experience with Snowflake deploying solutions across cloud platforms (AWS, GCP, Azure) as well as experience with big data technologies (Hadoop, Spark).

·         Hands-on experience with data visualization tools like Tableau, Power BI, or Looker, and data engineering tools like Apache Airflow, dbt, and Coalesce.

·         Strong problem-solving skills and the ability to analyze complex datasets to derive actionable insights.

·         Excellent verbal and written communication skills, with the ability to clearly convey technical concepts to non-technical stakeholders.

·         Ability to work collaboratively in a fast-paced, cross-functional environment.

 

Why 7Rivers: 

 

At 7Rivers, we believe that our employees are our most valuable asset, and we are committed to providing a transparent and collaborative work environment designed to support your well-being, growth, and success. 

 

Competitive Compensation: We offer a highly competitive compensation structure with a strong base salary and an opportunity to earn an annual bonus. 

 

Comprehensive Benefits: Our benefits package includes extensive healthcare coverage, dental plans, vision care, 401K options with company matching, and unlimited PTO. 

 

Career Growth Opportunities: We are committed to your professional development, offering numerous opportunities for career advancement, including access to ongoing training, certifications, mentorship assignments, and coaching opportunities. 

 

Innovative Culture: Be a part of a team of innovators and thought leaders who are passionate about being on the forefront of data modernization and AI. You will have the opportunity to work with the latest technologies and contribute to pioneering projects that shape the future within a work environment that encourages creativity, teamwork, idea sharing, and inclusion.

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