Senior Analytics Solutions Engineer

Our client runs a premier data analytics consulting and contracting company! With them, you and your team will have the ability to organize and synthesize ALL your data in an easy-to-understand, visual format. We help identify and display key factors using customizable graphics and displays, giving you the power to shape your business’ future.

They are seeking a Senior Analytics Solutions Engineer with an excellent understanding of data analytics, keen attention to detail, and exceptional communication skills. The successful candidate will be building reports, data pipelines, dashboards, and analytics projects for our customers under the direction of an internal team lead or engagement manager, ensuring that client requests for new data sources, data pipelines, analytics-ready datasets, and dashboards are accurately captured, translated, and implemented within the various platforms they use.

Responsibilities:

– Communicating with teammates to understand, interpret, and document business needs and requirements for data analytics projects.
– Under the direction of an internal team lead or engagement manager – utilize Domo, Tableau, PowerBI, Looker, dbt, Snowflake, Bigquery, Redshift, SQL, Python and other tools to create insightful, well-designed, and responsive analytics datasets, warehouses and data project outcomes based on customer requirements.
– Ensuring the accuracy and usability of all customer-facing data project outputs.
– Facilitating effective data exchange in customer’s environments.
– We interview business leaders to gain an understanding of their goals, environment, circumstances, and processes to then architect solutions that focus on delivering value. You would be building those solutions with us, validating, and documenting them.
– Evaluating business operations and uncovering the opportunities to provide more value with their data assets.

Requirements
– At least 5 years of data analytics experience (or equivalent level of competence – see below)
– High level of competence in SQL. Strong competence in Python is a big plus.
– Proven competence in all aspects of analytics – data architecture, data engineering, business analytics, dataset and dashboard design.
– Proficiency in using the tools of the modern data stack to design, develop, and optimize data projects.
– Exceptional analytical and data handling abilities with a strong attention to detail.
– Excellent verbal and written communication skills in English, with the ability to translate complex data into actionable insights.
– Strong customer-service orientation, with the ability to manage expectations and maintain long-term relationships.
– Knowledge of data privacy practices and regulations are expected.

Benefits
– Paid Time-off
– Paid Holiday