Data Strategy and Analytics Manager

USA - IL (Remote)

Allstate

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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

The Allstate Roadside (AR) Data and Analytics organization is responsible for advanced analytics, business intelligence solutions and capabilities, and contributing to business objectives by identifying and developing growth and profitability opportunities. We identify the highest-value opportunities, source the most relevant and trusted data, apply world-class analytics and modeling, and promote data-driven decisions. By turning data into actionable insights, we improve business performance and help achieve our strategic goals.

The AR Data and Analytics team embraces three key interdependent components - data, analytics, insights – that drive better business decisions. The team is responsible for performing extensive data analysis and delivering the right insights. The core functions include 1) understand the real business opportunity, 2) create an analytic plan with hypotheses, 3) collect data, 4) gather insights, 5) make recommendations.

​Data Strategy and Analytics Manager reports to the Analytics Director and is responsible for the data and reporting needs of Allstate Roadside (AR). This role ensures there are robust data strategies in place that align to business goals, reporting, and analytical capabilities that meet the full breadth of organizational needs. Data Analytics Manager is responsible for conceptualizing cutting-edge analytical approaches, enabling high-volume complex advanced analytics services on an ongoing basis, and leading the development of reusable data solutions. This role serves as a thought leader and subject matter expert on AR data and reporting solutions. Data Analytics Manager manages operational needs of business by driving data enablement, analysis as well as reporting solutions to improve business performance, impact growth and address any operational failures. 

Key Responsibilities

  • Influence the design of logical & physical data structures leveraging data warehouse modeling experience
  • Design presentation layer/ summary structures to enable BI reporting from the data warehouse
  • Manage offshore Data Engineering team to build ETL pipelines & ensure efficient and accurate data loads
  • Manage offshore Visualization team to drive design, build and enhancements to dashboards & SAP Business Objects reports and their schedules
  • Partner with technology teams as a Product Owner to drive enablement and adoption of warehouse
  • Assist with data-related queries and manage data analysis and reporting needs
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing complex queries, redesigning data infrastructure for greater scalability and improved performance, etc.
  • Ensure the effective collection, organization, and distribution of data from a variety of data sources.
  • Deliver value-add solutions at the speed of business
  • Troubleshoot data quality issues by identifying root cause and addressing them 
  • Create and maintain documentation allowing data to be understood (metadata) and leveraged for additional use

Education

  • Bachelor’s or Masters/MBA in a field such as Math, Business, Computer Science or Data Architecture (Preferred)

Experience

  • 8+ years of direct experience in Data Management & Business Intelligence reporting 

Supervisory Responsibilities

  • This job has supervisory duties.

Education & Experience (in lieu)

  • In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Knowledge/Skills/Abilities

  • Demonstrated experience in talent and people management of cross functional teams
  • Business acumen and strong stakeholder management skills
  • Strong communication skills with the ability to explain technical analysis results to business stakeholders and describe business processes, challenges, and issues to a technical audience
  • Strong Experience with BI tools such as Business Objects and Tableau/Power BI required
  • Deep expertise in relational databases and data warehousing required
  • Experience in data extraction, data manipulation, analysis, and reporting required
  • Technical expertise in Oracle PL/SQL and MSSQL (T-SQL) queries
  • Experience working with structured, semi-structured (JSON, XML) & unstructured data types (images/audio/video etc.)
  • Data Analysis skills using R/Python
  • Data Management on AWS cloud preferred
  • Strong knowledge of Agile methodology
  • Experience building BI platforms on hybrid cloud and on-prem environment
  • Good knowledge of database client software (i.e., TOAD, SQL+, SQL Developer)
  • Microsoft Office experience
  • Strong knowledge of SAP BO 4.2 or higher preferred
  • Experience in dashboard design and development preferred 

#LI-KB3

Skills

Compensation

Compensation offered for this role is $92,560.00 - 166,465.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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Tags: Agile Architecture AWS Business Intelligence Computer Science Data analysis Data Analytics Data management Data quality Data strategy Data warehouse Data Warehousing Engineering ETL JSON Mathematics MS SQL Oracle Pipelines Power BI Python R RDBMS SQL Tableau T-SQL Unstructured data XML

Perks/benefits: Flex hours Health care Medical leave Startup environment

Regions: Remote/Anywhere North America
Country: United States

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