Senior Business Intelligence Engineer

This is a Full Time Job

Location: Arizona, United States; , United States

Job Summary:

Would you like to be part of the interdisciplinary team providing vital insights into the rapidly evolving media landscape for Disney's suite of television networks (ABC, ESPN, Freeform, FX, National Geographic, Disney Channel, etc.)? Join our Data Management & Operations team, whose mission is to develop, support, and improve analytics operations to deliver data-driven insights and drive efficiencies across the Research, Data & Insights group in Disney Entertainment.

Job Summary:

The Senior Business Intelligence Engineer on Disney's Data Management & Operations team (within Disney Entertainment's Research, Data & Insights group) plays a critical role in shaping our data-driven strategy for supporting digital ad inventory forecasting across multiple networks. This multifaceted position encompasses the entire data lifecycle, from data ingestion and comprehension to the design, development, and enhancement of specific analyses. This dynamic role is integral to adapting swiftly to ever-evolving strategies and the shifting landscape of business needs.

As a Senior BI Engineer, you will occupy a highly technical and analytical position, expected to not only excel in data analytics but also effectively convey complex insights and trends to our business stakeholders. Your ability to bridge the technical and business worlds will be pivotal in driving data-driven decision-making and delivering actionable insights across our organization.

Responsibilities
and Duties of the Role:
• Business Intelligence and Analysis: Translate raw data into meaningful and useful insights for data-driven decision making. Analyze data to identify patterns, uncover opportunities, and create a common understanding of digital media consumption.
• Data Ingestion/Strategy: Lead in identifying new data sources needed by our business partners and working with the data owners to get access, translate, and load the data into a usable structure for reporting and analytics.
• Data Quality: As a subject matter expert on internal/external data sources, ensure data is as clean as possible and a reliable source of truth, escalating anomalies and developing workarounds where needed.
• Training: Develop and provide SQL training to increase the technical skill sets of the Forecasting team; provide support for those who develop Visualization tools for analytics and reporting.
• Dashboard Development: Designing, developing, and maintaining data visualization dashboards to present key insights and KPIs for stakeholders and decision-makers. Ensuring dashboards are user-friendly, interactive, and provide actionable information to support data-driven decision-making.
• Collaboration: We are looking for a results-oriented team member who has a demonstrated past of driving initiatives in a fast-paced cross-functional environment, excellent time management skills, and commitment to contributing effectively in a team environment.

Minimum Qualifications:
• A minimum of 7 years of relevant experience in data analysis, business intelligence, or a related field.
• High proficiency and extensive experience in SQL and Python for data analysis, including data manipulation and modeling.
• Proven ability to acquire, cleanse, manipulate, and load large datasets effectively.
• Demonstrated experience in building new data visualization tools, utilizing platforms such as Tableau, PowerBI, Alteryx, or equivalent.
• Exceptional communication skills, with the ability to adapt seamlessly between technical and non-technical terminology depending on the audience.
• A demonstrated spirit of curiosity, creative problem-solving, and a proactive willingness to learn new skills.
• Proven sense of responsibility, resourcefulness, and effective ownership of projects.

Preferred Qualifications:

• Experience using cloud data warehouses such as Snowflake, Redshift, Hive.
• Familiarity with cloud infrastructure for data science and business intelligence.
• Previous experience in financial forecasting or user analytics, particularly in a relevant context.
• Familiarity with the media industry, ad technology, and online metrics, demonstrating an understanding of the specific challenges and opportunities in these domains.

Required Education:

• Bachelor's degree in computer science, Mathematics, Engineering, Economics, Business Analytics, or another quantitative field

The hiring range for this remote position is $97,580 to $ $150,590.00 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.

The hiring range for this remote position is $97,580 to $ $150,590.00 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.