Analytics and Insights, Engineer

Key Skills

Azure, Business Intelligence, Data Analytics, Data Architecture, Data Modeling, Data science techniques, Databricks, KPIs, Planning and organization, Python Programming, R Programming, Snowflake, Splunk, SQL, Tableau

Job Description

Do you enjoy translating data into actionable insights? Nothing speaks louder of an organization’s health and value than the data it produces. The role of the Analytics & Insights, Engineer will support Enterprise Technology by developing and delivering analytics and solutions that expose ‘actionable insights’, modernize the way we consume data, and make data driven conversations the norm. 

Using an array of tools and experience with relational databases, the Analytics & Insights, Engineer will exhibit full knowledge and expertise and support their leader in the establishment of a Data Analytics Center of Excellence (CoE), making both data and context accessible through live connections, scheduled subscriptions, and mobile friendly dashboards. Additionally, the engineer will act as the primary resource building out data integrations and managing pipelines.

Responsibilities of role:

• The data engineer will build systems for data collection, preparing high quality data
• Engineer is responsible for maintaining infrastructure that supports data storage, processing, and retrieval.
• The engineer will gather and assess consumer requirements for accurate and or best fit solutions.
• The engineer must be proficient at joining data from multiple sources to produce the desired outcome, whether for management reporting, Executive dashboards, or KPIs
• The engineer must be capable of working with members of the Management staff to collect clear requirements.
• This candidate will recognize opportunities to influence the product outcome to provide the greatest value to the sponsor and the organization.
• The candidate will prioritize their work to suit organizational needs.
• Defines and documents relevant process improvement opportunities.
• Use complex tools/programs to mine data sources.
• Apply data engineering skills to develop more advanced solutions that drive action in the business.

Qualifications:

• At least 7 year’s experience working within Information Technology 
• Must have expert experience with Azure Data Factory, Snowflake and data brick.
• Must have an architecture background.
• Must have additional skills and knowledge in data security and understand policies and standards for keeping data secure.
• Familiarity with Automation technologies 
• Experience writing complex scripts using SQL or Python.
• Strong familiarity with Service Management domains and processes
• Proven experience with Business Intelligence techniques and tools – Tableau Server, Service-Now and Business Objects.

Key Competencies: 

• Uses their ability to recognize and interpret the data in the context of the Information Technology setting (e.g. Incident and Change correlation). Able to understand and analyze the data is crucial.
• Problem-Solving: The ability to look at data trends and recommend possible solutions that create value, efficiencies or reduce overall impact to the IT production environment. 
• Time Management: The engineer must be capable of working on large projects with multiple data streams and deadlines. Being able to juggle it all is crucial to the job.
• Good communication skills
• Critical, analytical, and quantitative thinking
• Good organizational and planning skills
• Possess good negotiation skills
• Ability to influence people
• Works well within a team; is collaborative
• Manages conflicts.
• Adaptive and handles stress well.
• Familiarity with big data platforms including New Relic, Splunk, etc
• Experience with R, Python, or other statistical computing packages
• Familiarity with developing and deploying streaming and batch data pipelines capable of processing and storing 

Preferred:

• Direct work experience in a Data Analytics or Data Architecture role
• Experience with large data driven projects where data is being sourced from multiple systems.
• Technical experience that includes data modeling is a plus
• ITIL V2 or V3 Certified
• Kepner-Tregoe Certified

Education requirements:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

The hiring range for this remote position is $129,600 to $174,130 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About The Walt Disney Company (Corporate):

At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.