Digital Analyst

Cognetik - Chicago, IL

Location: Chicago USA

Employment Type: Full-Time

About Cognetik

Cognetik empowers digital leaders with insights and products to accelerate decision-making, improve digital experiences, and advance business transformation. To succeed today, organizations must consolidate data from every touch-point and generate clear insights to continuously improve every element of their digital business. Our team of thinkers and builders partner with Fortune 1000 clients to help them chart a clear, confident, and data-driven path to get the most out of their analytics operations, gain a competitive advantage, and increase revenue.

Role Overview

The Digital Analyst position will be an individual contributor servicing one of our clients in downtown Chicago. They will work with several teams within a larger digital team to produce insights into Product, eCommerce, behavioral and marketing data to help the business make data-driven decisions. This individual will work onsite in downtown Chicago.

Role Details

Reports to: Manager, Analytics

Direct reports: None

Career Upward Mobility: Sr Analyst, Analytics Team Lead, Analytics Manager

Conduct analysis using advanced analytical methodologies that will lead to innovative and effective high quality digital experiences

Lead all phases of digital analysis for the purposes of formulating strategy, discovering opportunities, and assessing designs

Works with stakeholders across multiple teams to define qualitative and quantitative analysis methods, success metrics, data sources, data integration, channels, and customer targets

Lead requirement gathering process for stakeholders on multiple business teams

Translate requirements into analysis and business metrics that can utilized to drive the business forward

Pull data by running queries on relational databases and perform analysis from disparate data sources to identify multi-channel digital opportunities and areas of improvement

Evangelize data-driven decision making by crafting compelling stories that demonstrate business results

Deliver analysis and dashboards to senior leadership in clear and succinct written and oral presentations

Partner with senior leadership to break down silos and transform our clients into data-driven organizations

Work with offshore resources to deliver work for our client

Required Qualifications:
Green Card holder or US Citizen

At least 3 years of experience in the Digital Analytics field

At least 2 years of experience of generating insights using clickstream data sources: Google Analytics and Adobe Analytics

At least 2 years of experience writing SQL queries for relational databases: Redshift, Snowflake, Teradata, MS SQL, etc.

At least 1 years of experience using visualization tools: Tableau, PowerBI, Qlik, Domo, etc..

At least 1 years of experience working with or leading offshore resources to produce quality work

Bachelor's degree in quantitative field

Required Skills:
Competency Levels

Novice - Just beginning to learn skill

Apprentice - Have used skill successfully but is still in development

Practitioner - Proficient in skill to the point where they can mentor others

Expert - Highest level of proficiency

Core Competencies

Practitioner - Strong verbal and written communication skills, as well as the ability to work effectively across internal and external organizations and virtual teams.

Practitioner - Experience giving formal presentations, whiteboarding and facilitating large and small group discussions

Practitioner - Must be able to think strategically by delivering solutions that efficiently meet client requirements and fulfill the role of "trusted advisor"

Practitioner - Ability to prioritize multiple projects and tasks to maintain client expectations

Practitioner - Evangelize a measurement culture and contribute to analytics documentation (e.g., data dictionary, variable map) using knowledge management tools (e.g., SharePoint, Wiki) to provide a reference repository for the organization

Apprentice - Participate in evaluation of digital analytics technologies based on established criteria in order to satisfy business needs

Analytical Competencies

Practitioner - Ability to lead analysis of large sets of data to provide accurate and insightful reporting, analysis, dashboards

Practitioner - Communicate analytic findings and actionable recommendations in a manner tailored to the target audience.

Practitioner - Compile, integrate, and analyze data from multiple sources to identify trends, expose new opportunities, and answer ongoing business questions.

Practitioner - Use key performance indicators (KPIs), diagnostics, drivers, and indicators to measure performance against business goals.

Practitioner - Obtain and incorporate benchmark data (internal, external) into reports and analysis for comparison purposes.

Apprentice - Analyze optimization testing results using statistical methods to make recommendations to improve user experience and business results.

Novice - Build models (e.g., explanatory, predictive) using statistical tools to address business questions

Novice - Execute analysis (e.g., segmentation, campaign) using analytic and/or statistical/applied statistical tools (e.g., Excel, SAS, R) to address business questions, issues, and opportunities.

Technical Competencies

Practitioner - Gather business requirements for data collection to provide implementation guidance to the technical team

Practitioner - Perform quality assurance (QA) testing using tools and methods suitable to the business environment to verify that data appears within digital analytics tools as expected

Novice - Describe how analytics code libraries (e.g., s_code.js, analytics SDKs) function to execute the analytics data collection process