Responsibilities

Design, develop, and implement data models and techniques and transform raw data to provide insights and recommendations to influence business decisions and strategies. Visualize, analyze, interpret, and report on revenue, ad product performance, and campaign KPI data findings. Design data schema, write queries to extract data, and manipulate data through ETL processes in SQL. Perform root cause analysis and troubleshoot failures through ad-hoc analysis of data, and communicate findings with cross-functional partners to drive resolution. Create automated dashboards to track real time product performance. Collaborate with cross-functional teams (including sales, product, engineering, operations, or marketing) to develop tools for data visualization.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Business Analytics, Statistics, Mathematics or a related field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in in Computer Science, Engineering (any), Information Systems, Data Science, Business Analytics, Statistics, Mathematics or a related field, and 3 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Constructing advanced queries using SQL; Analyzing historical data and applying root cause analyses to identify trends and patterns; Designing and maintaining dashboards using Tableau or Power BI to visualize key data and insights, track key performance indicators, and provide self-service tools to stakeholders; Creating, maintaining, and delivering reports using Excel and developing and validating metrics to evaluate business performance; Using Python to manipulate data for analysis and prediction, automate data load processes, and optimize reporting processes; and Developing and maintaining tables, views, indexes, datasets, and data pipelines to extract, clean, transform, load and maintain data across multiple databases. Travel Requirement: Domestic travel required up to 5%. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: New York, NY Salary Range: $115835 - $151200 per year To Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $115835 - $151200 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.