Data Analytics Senior Consultant I

Remote from
USA
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
21 Jul 2026
Experience level
Senior
Views / Applies
11 / 4

About Allstate

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This job post has been manually reviewed for authenticity and compliance.

AI Summary

This role at Allstate involves developing and maintaining predictive models and operational forecasts for Claims demand and capacity planning. The senior consultant will work with Python and SQL to automate workflows, perform data analysis, and support business decisions. Strong communication and collaboration with stakeholders are key, along with process improvement and knowledge sharing. The position requires advanced technical skills in data engineering and modeling.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires advanced Python, SQL, and predictive modeling skills for medium to high complexity models, which demands strong technical expertise and problem-solving ability.

Salary Analysis

Median Market Rate
$95,788
US Market
$70k – 130k
0 $143k
AI Insight The offered salary range of $70,100–$121,475 is competitive for a Data Analytics Senior Consultant I role, aligning well with the US market median of approximately $95,000. The midpoint reflects the complexity and seniority of the position.

Key Skills

Advanced SQL Python Predictive Modeling Data Analysis Data Engineering Big Data Business Analysis Forecasting Data Visualization

I am excited to apply for the Data Analytics Senior Consultant I position at Allstate. With over 5 years of experience in predictive modeling and data engineering, I have developed robust Python workflows and SQL queries that improved forecasting accuracy by 20%. My background in claims analytics aligns perfectly with the responsibilities of this role.

I excel at translating complex business questions into actionable analytical solutions, as demonstrated by my work on demand and capacity forecasting models. I am particularly drawn to Allstate's commitment to innovation and data-driven decision-making.

I look forward to the opportunity to contribute to the Claims Workflow organization and collaborate with stakeholders to drive efficiency. Thank you for considering my application.

Can you describe a complex predictive model you built from scratch? What challenges did you face and how did you overcome them?
I developed a demand forecasting model using time series and regression techniques. The main challenge was handling missing data and seasonality. I implemented data imputation methods and engineered features like lag variables, which improved the model's accuracy by 15%.
How do you ensure the accuracy and integrity of your data when working with large datasets?
I perform thorough data validation and reconciliation using SQL queries, and I build automated anomaly detection scripts in Python. I also document data sources and transformations to maintain transparency and reproducibility.
Describe a time you automated a manual reporting process. What tools did you use and what was the impact?
I automated a weekly Excel-based report by creating a Python script that pulled data directly from databases and generated visualizations using Matplotlib. This reduced the report generation time from 4 hours to 30 minutes and eliminated human errors.
How do you communicate complex analytical results to non-technical stakeholders?
I focus on simplifying the narrative, using clear visualizations and avoiding jargon. I tailor my communication to the audience's needs, highlighting key insights and actionable recommendations, and I often provide dashboards for self-service exploration.
Can you explain the difference between simple and exponential smoothing forecasting methods and when you would use each?
Simple smoothing averages all past data with equal weight, while exponential smoothing gives more weight to recent observations. I use simple smoothing for stable, non-trending data, and exponential smoothing for data with trends or seasonality to capture recent patterns.

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 Data Analytics Senior Consultant I will develop, maintain, and continuously improve predictive models and operational forecasts that support Claims demand and capacity planning.
This role is responsible for producing accurate, consistent outputs while strengthening process integrity through automation, streamlined workflows, modernized data visualization, and business intelligence solutions that make data easier to understand and use across the Claims Workflow organization.

Key Responsibilities:

  • Predictive Modeling and Forecasting: Design, build, populate, own, monitor, and maintain medium- to high-complexity predictive models, including reruns and backfills.
  • Workflow Development: Build and support Python workflows for operational forecasting, reporting, and scalable analytical solutions.
  • Data Preparation and Quality: Query and transform datasets using Python and SQL to create feature datasets; perform data validation, reconciliation, and anomaly detection.
  • Process Improvement: Automate manual and spreadsheet-based processes, identify efficiency opportunities, and implement creative modeling concepts that improve business processes.
  • Business Partnership: Translate business questions into analytical solutions, provide high-quality data models to support stakeholder performance initiatives, and communicate effectively with stakeholders, product owners, and team members.
  • Knowledge Sharing: Support peer-to-peer cross-training and help build team capability through collaboration.

Qualifications:

  • Experience developing, maintaining, or supporting predictive models.
  • Advanced Python skills for data analysis, feature engineering, workflow development, and model creation.
  • At least 2 years of hands-on experience with data reporting:
    • Advanced SQL (joins, aggregations, window functions)
    • Experience working with large or complex datasets.
    • Experience troubleshooting and debugging analytical processes.
  • Experience building and implementing short and long-term demand and capacity forecasting models is a plus.

Functional Skills:

  • Intermediate to advanced ability to build forecasts and/or technical tools, using a variety of data reporting and visualization software.
  • Intermediate technical knowledge with data management processes (i.e., data flow within systems, data mapping, etc.) and/or experience with integrating data from multiple sources, including databases, unstructured data, and/or other enterprise data stores.
  • Comprehensive knowledge of forecast reporting and business knowledge (financial skills, follow the numbers)
  • Advanced proficiency in querying, compiling, analyzing, and integrating information from different sources to make data informative and form a recommendation.
  • Demonstrated ability to work with numbers and develop medium to high complexity formulas.
  • Advanced PC skills including Excel, PowerPoint, and Word
  • Exceptional interpersonal skills to work effectively in a virtual team environment.
  • Effective time management and organization skills
  • Strong oral and written communication skills

#LI-SH3

Skills

Advanced SQL, Big Data, Business Analysis, Business Case Analyses, Business Model Development, Data Analysis, Data Analytics, Data Engineering, Data Query, Predictive Modeling, Python (Programming Language)

Compensation

Compensation offered for this role is 70,100.00 – 121,475.00 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. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

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 Know Your Rights” 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.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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