Data Analytics Senior Consultant II (Remote, US)

Allstate Insurance Company

• $75K — $126K *
US-AnywhereRemote in Illinois, US
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced analytical and problem-solving skills
  • Proficiency in SQL and experience with Microsoft Fabric
  • Familiarity with data visualization tools like Tableau and Power BI
  • General knowledge of the insurance industry
  • Strong written and verbal communication skills
  • Experience with Big Data
  • Minimum of 2 years in data and analytics roles

Responsibilities

  • Translate complex data insights for non-technical stakeholders
  • Provide technical expertise in data analytics
  • Compile, clean, and analyze data to assess business performance
  • Monitor business initiatives against key performance indicators
  • Present findings and updates to management and teams
  • Establish and document standards for data practices
  • Influence business strategy through data-driven insights

Benefits

  • Comprehensive technology setup including laptop and monitors
  • Monthly connectivity reimbursement for remote work
  • Flexible work-from-home options
  • Support for creating a distraction-free workspace
  • Accommodations available for interview processes
Full Job Description
Job Description
The Data Analytics Consultant II is responsible for leveraging data and analytics to answer moderately complex questions and influence business strategy through communication of findings to management. The position is also responsible for developing standards of practice around data retrieval, data manipulation, data reporting and data analytics

Key Responsibilities:

  • Makes the business insights derived from data analytics accessible to those without technical skills.
  • Provides technical expertise.
  • Compiles, cleans, organizes, and analyzes moderately complex data to understand business results.
  • Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management.
  • Communicates and presents project information to team and provides presentations/updates to management.
  • Establishes, modifies, documents, and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics.
  • Influences strategy through data and analytic

Essential Qualifications:

  • Advanced analytical and problem-solving skills
  • Experience in different programming languages such as SQL
  • Experience working in Microsoft Fabric
  • Experience in different data visualization tools such as Tableau and Power BI
  • General insurance knowledge
  • Strong communication skills, both written and verbal
  • Experience working with Big Data
  • 2 years of data and analytics experience

#LI-SM1

Skills
Ad Hoc Analysis, Advanced Analytics, Business Influence, Data Analysis, Data Analytics, Data Build Tool, Data Visualization, Structured Query Language (SQL), Structured Query Language (SQL) Development

Compensation
Compensation offered for this role is 75,100.00 - 126,325.00 annually and is based on experience and qualifications.

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.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

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