What are the responsibilities and job description for the Data Analyst Supporting Big Data Projects SQL Python position at Globenet Consulting Corp?
Benefits :
- Competitive salary
- Opportunity for advancement
- Training & development
Position Title : Data Analyst – Supporting Big Data Projects – SQL, Python (must) – Data Bricks (Nice Have)
Location : Seattle, WA (Onsite)
Job Type : Full-Time
Let’s create our future together at The AES Group!
About The AES Group :
The AES Group is a premier technology consulting company that has been bringing businesses and talent together for over 20 years to deliver the most innovative technology solutions that create the most positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies.
About the Role :
This job contributes to our success by guiding business decisions through utilizing data analysis and consulting that results in predicting directional outcomes, understanding complex data relationships, and developing a quantitative return on investment. This position partners on a cross-functional team of innovation leaders supporting strategic initiatives that help shape and define the future.
Models and acts in accordance with Client's guiding principles.
Looking at data from a human lens, will not be doing hands on lab testing
Key Responsibilities :
Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data
Applies basic statistical concepts and descriptive statistics to understand and describe relationships in data
Builds predictive models and complex descriptive analytics, such as clustering and market basket analysis
Participates in discussions with business partners to define business questions and to consult
Creates impactful visual representations of analytic insights and concise summaries of methodology geared to audience needs; presents selected portions to stakeholders
Provides analytic support (code documentation, data transformations, algorithms, etc.) to implement analytic insights and recommendations into business processes (e.g., automation of process to level up Lab analytics)
Contributes to analytic project proposals
Promotes and advocates for value of analytics and data among peers
Provides knowledge share and mentorship to team in databases, tools, access, data prep techniques
Qualifications :
Minimum of 1 years of experience within data analysis field or discipline
Experience with content management systems.
Familiarity with putting together process documents for finance team activities and job aids.
Familiarity with project management principles.
High Level Knowledge of regulatory compliance in the finance sector is Nice to Have.
Microsoft Office tooling
Exposure and business-applicable experience in several data ETL (SQL, Python, DataBricks, Java, Ruby, Pig, Teradata, Oracle)
SQL and Python are priority, data bricks preferred
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Exposure and business-applicable experience in several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)
Preferred Skills :
Retail, customer loyalty, and eCommerce experience, preferred
Data bricks experience
Larger data sets experience
Supply chain or UX background
Innovation and supply chain experience preferred
Smart sheets
What we offer :
Competitive pay with a focus on your performance and outcomes
Professional growth opportunities that enable you to connect and collaborate with industry leaders and drive business value for some of the world's most innovative and forward-thinking companies
Open and collaborative environment where your contributions help shape The AES Group into something that works for you, not just a company you happen to work for
Salary : $70 - $75