FreshRemote.Work

Data Analytics Lead Consultant

USA - IL (Remote)

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

Allstate Financial Services helps Allstate customers build holistic financial wellbeing for their families with life, retirement and investment solutions to realize their hopes and dreams. By making our sales force more efficient with the help of data driven decision making.

Allstate Financial Services offers a robust portfolio of solutions to help customers build and protect their financial futures. We deliver a seamless customer experience with innovative processes and technologies through a network of best-in-class financial professionals and carriers.

We demonstrate our core values through integrity, accountability, resilience, and perseverance. We are industry leading financial experts who put the customer at the heart of everything we do. We value each other. We seek feedback and take appropriate action. Our collective success is achieved through collaborating across all areas of responsibility within AFS and Allstate, prioritizing the customer experience.

• Improve the Customer Experience: Provide an exceptional customer experience at every touchpoint.
• Expand & Enhance Distribution: Promote top line growth, increase producer retention, and increase sales.
• Optimize Systems, Technology and Processes: Streamline and utilize standard processes to improve ease of doing business

The Role:

The Data Analytics Lead Consultant is responsible for leveraging data and analytics to answer complex questions and influence business strategy through communication of findings to senior management. The position is also responsible for developing standards of practice around data retrieval, data manipulation, data reporting and data analytics.

Key Responsibilities

  • Synthesizes large amount of complex data into meaningful conclusions and recommendations.
  • Compiles, cleans, organizes, and analyzes Allstate Financial Services sales data to understand the sales funnel and what is driving business results.
  • Develops data assets through the creation, publication and maintenance of dashboards and other types of reporting for stakeholders.
  • Works with teams developing hypotheses and recommendations leading to optimization of the online sales shopping experience. Evaluates the outcomes of these recommendations.
  • Monitors and evaluates projects / business initiatives against key performance indicators (KPIs) and communicates results and recommendations to management.
  • Be a thought leader; recommends process improvements and influences strategy through data and analytics.

Job Qualifications

  • 5+ years of data and analytics experience; life insurance and annuity experience preferred but not required
  • Uses sound decision making capabilities including problem solving approaches, decision frameworks; ability to design and lead complex analysis
  • Advanced quantitative and analytical skills
  • Proficient in SQL
  • Experience in different programming languages such as Python and R
  • Strong presentation skills; dynamically (persuasively) presenting ideas to management
  • Ability to persuasively advocate a position and build momentum for change and action
  • Ability to inspire trust and influence management
  • Advanced ability to understand Insurance consumer trends, industry/ competitive dynamics, and economics
  • Data visualization experience
  • Strong written and verbal communication

Additional Desired Functional Skills

  • Microsoft PowerBI development a plus
  • General life insurance knowledge a plus

Education & Experience:

  • 4 year Bachelors Degree (Preferred)
  • 5 or more years of experience (Preferred

#LI-MK1

 

Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.

Skills

Analytical Thinking, Business, Data Analysis, Data Analytics, Python (Programming Language), Structured Query Language (SQL)

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.

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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

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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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