Job Title: Data Analytics ConsultantJob Location: Alpharetta, GA or Irving TX (Hybrid)Description:AgreeYa is a global Systems Integrator and is seeking an experienced Data Analytics Consultant to join our growing team.
Overview: - Responsible for creating data product roadmap, guidelines and architecture to drive AI implementation and adoption.
- Responsible for designing and implementing the best solutions to drive data clarity, data lineage, and reduce data transfer.
- Person will also need to be fluent with understanding of how AI/ML models work along with the algorithm development process.
- Expected to help drive meaningful insights from data and help push the business forward.
- The Data Scientist will focus on developing, automating and deriving insights from analytics and reporting tools such as Qlik and Looker (Look ML), storytelling new customer insights with UI/UX visualizations and maintaining or enhancing existing reports.
- There will also be a need to use python or other programming languages to predict outcomes, generate NLG insights, and simplify the consumption of business-critical data.
Job Responsibilities: - Collaborate and partner across the Data & Analytics organization and enable stakeholders by enriching data pipelines, semantic layers, and visualization reports through careful crafting of data architecture.
- You will need to identify and collect requirements to establish baseline data structures to support a wide variety of new and existing use cases.
This will include journey analysis, KPI creation, cohort segmentation, automation processes and more. - Stitch together data from multiple channels to formulate a complete 360 view.
- Create and deploy actionable dashboards for business owners to gauge performance and assist with omni channel optimization decisions such as CX KPIs, NPS, Revenue, Churn, Call-in Rate
- Develop solutions to highlight insights on opportunities to reduce journey fallout, channel hops, post interaction contact rate and optimizing human interactions.
Required Skills & Experience: - Ability to create complex SQL queries to pull data from relational and non-relational data sources like Teradata, Google Cloud Platform (GCP)/BigQuery, Hadoop/HIVE SQL and EDW.
- Data visualization skills and good experience using Looker & Qlik to develop reports
- Experience conducting research or analysis and managing projects for multiple stakeholders.
- Demonstrated proficiency with Python and experience with big data technology implementations.
Preferred Skills & Experience: - Bachelor's degree or master's degree in business, marketing, information systems, analytics/business intelligence, engineering, mathematics, statistics, behavioral sciences or other relevant technical discipline.
- Eight or more years of professional work experience within analytics and dashboards
- Analytical skills and problem-solving skills with capability and experience connecting sales/operational/channel data between multiple data sources to develop queries, analyze data and generate insights.
- Statistical background with ML algorithms and tools such as R/Python/Spark, Deep Learning techniques or other advanced analytics tools.
- Any prior exposure to AI/Machine Learning and some high-level understanding of ML models or data science model metrics to generate insights
Education Required: - Bachelor's degree or four or more years of work experience.