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Senior Data Analyst

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Philippines

Offer summary

Qualifications:

Bachelor’s degree in a related field, Proficiency in Python, SQL, MongoDB, Knowledge of data visualization tools.

Key responsabilities:

Manage and analyze class action data
Create dashboards and deliver insights
Perform data audits and maintain integrity
Collaborate with marketing and legal teams
Mentor junior team members

MultiplyMii

201 - 500 Employees

See more MultiplyMii offers

Job description

What Are We Looking For

MultiplyMii is seeking a Senior Data Analyst to join our client's growing team. They are an innovative company dedicated to connecting consumers with important legal resources, simplifying access to class actions and settlements.

In this role, you'll have the opportunity to contribute meaningfully by managing and analyzing data related to class action lawsuits, settlements, and legal marketing. The Senior Data Analyst will focus primarily on data analysis, reporting, and delivering actionable insights to support decision-making across the organization. This role involves working closely with cross-functional teams to understand their data needs and provide solutions that enhance operational effectiveness.

This role is 100% remote work

Key Responsibilities

Data Analysis and Reporting:

Create and maintain comprehensive dashboards and reports.

Deliver actionable insights to improve legal marketing campaign effectiveness.

Utilize data visualization tools like Tableau or Looker Studio to present data clearly.

Industry Standard KPIs:

Report Accuracy: Percentage of reports delivered without errors (Target: ? 99% accuracy).

Report Timeliness: Percentage of reports delivered on or before deadlines (Target: ? 95% on-time delivery).

User Satisfaction: Average satisfaction score from report users (Target: ? 4.5/5).

Predictive Analytics and Modeling:

Develop predictive models to enhance settlement forecasting and campaign targeting.

Ensure models achieve predictive accuracy above 80% through validation.

Industry Standard KPIs:

Model Accuracy: Percentage of correct predictions made by the model (Target: ? 80%).

Model Deployment Time: Time taken to deploy a model from development to production (Target: ? 3 months).

Return on Investment (ROI): Financial benefits derived from predictive models versus costs (Target: Positive ROI).

Data Integrity and Accuracy:

Perform regular data audits and establish validation processes.

Resolve data discrepancies promptly to maintain a 99% data accuracy rate.

Industry Standard KPIs:

Data Accuracy Rate: Percentage of data entries that are correct (Target: ? 99%).

Error Resolution Time: Average time taken to resolve data discrepancies (Target: ? 48 hours).

Data Quality Score: Composite score based on various data quality metrics (Target: ? 90/100).

Cross-Department Collaboration:

Collaborate with marketing and legal teams to improve data quality and timeliness.

Establish a data feedback loop with vendors to enhance data-driven improvements.

Industry Standard KPIs:

Collaboration Effectiveness: Number of successful cross-department projects completed (Target: ? 4 projects/year).
Stakeholder Engagement: Frequency and quality of interactions with stakeholders (Target: Monthly meetings with positive feedback).
Data Utilization Rate: Percentage of departments actively using provided data insights (Target: ? 85%).
Leadership and Mentorship:

Mentor junior data team members, ensuring skill development and knowledge sharing.
Participate in cross-departmental projects to demonstrate leadership.
Industry Standard KPIs:

Team Development: Number of training sessions or mentorship hours provided (Target: ? 20 hours/year).
Employee Growth: Improvement in junior team members' performance metrics (Target: ? 15% improvement).
Leadership Effectiveness: Feedback scores from mentees and peers (Target: ? 4.5/5).

About You

Core Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Proficiency in data analysis tools and programming languages, such as Python, SQL, and MongoDB.
Strong communication skills, both written and verbal.

Preferred Qualifications

Knowledge of data visualization tools like Tableau, Looker Studio, or equivalent platforms.
Familiarity with legal data or legal marketing.
Familiarity of digital marketing analytics
Knowledge of statistical analysis and machine learning techniques.

Why MultiplyMii

MultiplyMii, a premium recruitment & HR services company, is growing FAST and we are currently hiring an exceptional Senior Data Analyst who desires to be part of an exciting organization that rewards and values its team members.

Shift and Schedule: 12 PM - 4PM EST Monday - Friday.