Data Analyst at Aditi Consulting in Plano, TX

Job description

• Payrate: $63.00 - $63.68/hr.
• The primary purpose of the role is to drive analytics and measurement for digital marketing and personalization efforts. This role will collaborate with several teams including Marketing, Demand Generation, Platform, Data Science, Engineering and Project Management to develop insights and data solutions that will help inform the effectiveness of our marketing and personalization efforts across various channels and how best can we optimize these efforts to grow our business. This position will report to the Director of Digital Analytics.

Responsibilities

• Strategic analysis and reporting: Drive strategic analysis and deep dives to be shared with senior leadership. Build and maintain reporting dashboards that track the performance of our marketing and personalization efforts. Continually evolve analytics processes and tools; incorporate new sources of data to improve understanding of the business and customers.
• Collaborate with BI team to build reporting solutions using Tableau, SQL and other data-warehousing and BI technologies
• -Collaborate with stakeholders to understand business problems, provide data insights to help make business decisions
• Marketing optimization: Drive customer insights to help marketing reach out to a customer with the right product, at the right time and with the right message.
• Test planning and measurement: Build relevant KPIs to monitor the effectiveness of Company marketing campaigns and personalization efforts. Own A/B testing framework to understand optimal option for the customer. Compare programs and highlight what is working vs. what is not working. Analyze and develop data to help business pivot and create new offerings/ campaigns.
• High Value actions (HVAs): Identify and quantify customer actions that drive increased customer engagement and spend downstream, unlocking business value. Drive alignment with Marketing, Demand Generation and Product teams on importance of these customer actions in order to help prioritize a) campaigns/experiences focused on driving the right HVA while offering b) the right incentive, in order to unlock maximum value for Company.

Requirements

• Strong analytical work experience
• Stellar SQL and excel skills
• Experience pitching ideas/solutions to marketing/business leadership.
• Bachelors’ Degree in a quantitative field (Mathematics, Engineering, Operations Research, Statistics etc.).
• 5+ years of hands-on experience in Data Analytics or related roles such as Quantitative Marketing or Operations Research.
• 3+ years of experience in data manipulation using SQL.
• 2+ experience with design, execution, and measurement of A/B tests.
• 3+ years of experience building data visualizations using tools like Tableau.
• 2+ years of experience with statistical analysis and predictive modeling using tools such as R, STATA, SAS, Python, etc.
• Experience in an eCommerce and/or Digital Marketing environment.
• Succinct, proactive communication; translate data analytics into business solutions.
• Proven experience in managing multiple tasks simultaneously with a rigid determination to meet deadlines.
• Comfortable to work with people from a broad range of backgrounds from highly technical to marketing to sales/business.
• Quantitative background
• Marketing background would be useful

Skills

Required

• SQL
• Excel
• Tableau
• Data visualization
• Statistical analysis
• Predictive modeling
• A/B testing
• Data analytics
• Communication
• Project management
• Stakeholder collaboration

Preferred

• R
• STATA
• SAS
• Python
• Quantitative background
• Marketing background

Benefits

• Pay Transparency: The typical base pay for this role across the U.S. is: $63.00 - $63.68/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law.
• Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages.
• Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus.
• Sick leave and mobile phone reimbursement provided based on state or local law.