Associate Director – Advanced Analytics Job ID- 381

MaziCTools; United States; Hybrid; USD 174,459 - 254,300; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Employee discounts up to 50% on AT&T mobility plans

Job summary

MaziCTools is seeking an Associate Director - Advanced Analytics in Dallas, TX. This role involves designing complex data sets to deliver actionable insights and developing BI solutions through dashboards and reports. Ideal candidates possess a Master's degree and 2+ years in advanced analytics, capable of leveraging big data and machine learning techniques.

Benefits include comprehensive medical coverage, a 401(k) plan, and generous paid time off. Candidates may also work from home on a flexible basis.

Qualifications

• Two (2) years of experience in advanced analytics, big data, and machine learning.
• Experience with statistical modeling tools such as SAS, SPSS, and Python.
• Hands-on experience developing BI solutions including dashboards and reports.

Responsibilities

• Design and build large and complex data sets to generate actionable insights.
• Develop analytic dashboards and reports based on statistical analysis.
• Investigate and resolve data issues, ensuring data integrity and quality.

Skills

Advanced analytics

Big data

Machine learning

SQL

Python

Data visualization

Education

Master's degree in Information Systems or Computer Science

Tools

SAS

SPSS

Tableau

PowerBI

Job description

Associate Director - Advanced Analytics

Location: 208 S. Akard Street, Dallas, TX 75202 (and various unanticipated locations throughout the U.S.; may work from home).

Salary: $174,459 to $254,300 yearly.

Responsibilities

• Design and build large and complex data sets from varied sources to generate actionable insights.
• Utilize big data analysis to deliver churn analysis, subscriber profiling, customer behavior analysis, segmentation, sales analysis, product level analysis, and customer experience analysis.
• Define requirements for data integration and business intelligence applications.
• Create data models for statistical analysis, development, reporting, and dashboarding.
• Develop analytic dashboards and reports based on statistical analysis and modeling.
• Deliver automation and visualization of recurring analytics.
• Perform studies and discovery around new data sources or new uses for existing data sources.
• Design and build complex data sets from various sources, addressing scalability issues.
• Investigate and resolve data issues.
• Use ETL and data transformation of big data sets using best practiced methodologies in SQL, AWS, Python, and Python packages such as Numpy, Pandas, Matplotlib, and Plotly.
• Administer and manage cloud database and data warehouses such as Snowflake, Redshift, Essbase, DeFacto.
• Work with advanced analytics, big data, relational database structures, machine learning, data science, research methods, sampling techniques, and system testing.
• Utilize statistical and big data‑driven analyses including graph analysis, AI, machine learning, text analysis, and SQL analysis.
• Use statistical modeling and simulation tools such as SAS, SPSS, R, and Python.
• Access structured and unstructured data on the cloud and on‑prem (Palantir, Vertica, AWS S3, Snowflake, Oracle, MySQL, Hadoop, Teradata, Hive, Couchbase) to create unified adhoc data sources.
• Work on solution architecture, data modeling, reporting, and data warehouse tools, concepts, and ETL.
• Develop BI solutions including dashboards, reports, and visualization.
• Use common platforms Tableau, MicroStrategy, and Pentaho, and visualization programs such as Tableau, PowerBI, Spotfire, QlikView, Birst.
• Understand wireless, broadband, digital industry, and key wireless operating metrics data.
• Work with big data analysis and platforms such as Aster and Vertica.

Qualifications

• Master's degree or foreign equivalent in Information Systems or Computer Science.
• Two (2) years of experience in advanced analytics, big data, relational database structures, machine learning, data science, research methods, sampling techniques, and system testing.
• Experience with statistical and big data‑driven analyses including graph analysis, AI and machine learning, text analysis, and SQL analysis.
• Hands‑on experience with statistical modeling and simulation tools such as SAS, SPSS, R, and Python.
• Accessed structured and unstructured data on the cloud and on‑prem, including Palantir, Vertica, AWS S3, Snowflake, Oracle, MySQL, Hadoop, Teradata, Hive, Couchbase.
• Experience with solution architecture, data modeling, reporting, and data warehouse tools, concepts, and ETL.
• Developed BI solutions including dashboards, reports, and visualization.
• Proficient with Tableau, MicroStrategy, Pentaho, PowerBI, Spotfire, QlikView, Birst.
• Understanding of wireless, broadband, digital industry, and key wireless operating metrics data.
• Experience with big data analysis platforms such as Aster and Vertica.

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (at least 23 days vacation each year and 9 company‑designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond state and local law
• Adoption reimbursement
• Disability benefits (short‑term and long‑term)
• Life and accidental death insurance
• Supplemental benefit programs: critical illness, accident, hospital indemnity, group legal
• Employee Assistance Program (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on AT&T mobility plans, accessories, AT&T internet (and fiber where available), and AT&T phone

AT&T is an affirmative action/equal opportunity employer, and we are committed to hiring a diverse and talented workforce. EOE/AA/M/F/D/V.