À propos
JOB LOCATION:
311 S Akard St. Dallas, TX 75202
DUTIES:
Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the appropriate data to be analyzed to explain or predict behavior, solve a variety of business problems, and build business cases. Responsible for business case development, big data analytics modeling using tools (ex: including but not limited to: Tableau, Palantir, Power Bi, Databricks, Aws Azure, Synapse, H2O Driverless AI, etc.), and business process integration. Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions. Builds predictive models using data, tests the model on results outside of the sample size, and verifies the model in the real world. Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly developing within the big data space. Use traditional modeling techniques to build models that support decision making. Develop reports, charts, tables, and other visual aids in support of findings. Advises business partners with regard to patterns and relationships in data to recommend business direction or outcomes. Work with mapping spatial and analytics technology including geographic information system (GIS) supported by ESRI. Utilize ESRI ArcGIS Pro, ArcGIS Online, ArcPy, ESRI Dashboards. Create static and interactive maps. Utilize Spatial joins, buffer analysis, and proximity analysis. Utilize Python (Pandas, GeoPandas, PySpark) and SQL within Databricks and Snowflake environments. Operate GIS Tools and Technologies, including Feature classes, shapefiles, WKT/WKB, projections. Use GeoJSON, PostGIS, PgAdmin. Utilize visualization tools:Power BI, ESRI Dashboards and Viewers. Employ Cloud and Big Data Platforms:Azure Synapse, Palantir Foundry. Use ETL Tools: Alteryx, Azure Data Factory. Create and visualize Geospatial layers using ESRI tools. Utilize and transform data in different formats to ensure the data can be utilized for Geospatial analytics. Creation of Geospatial analytics on adhoc requests driven from business requests. Create and monitor ESRI Geospatial dashboards. Design static and dynamic mapping application keeping best practice design in mind. Utilize ETL tooling to translate between traditional coding methods and code free workflows. Utilize geospatial analysis methodologies to determine relationships of various types of layers and their relationships to one another. Interface with internal clients to understand requests, requirements, and complete requested work.
REQUIREMENTS:
Requires a Bachelor's degree, or foreign equivalent degree in Engineering, Data Science, or Computer Science and five (5) years of progressive, post-baccalaureate experience in the job offered or five (5) years of progressive, post-baccalaureate experience in a related occupation working with mapping spatial and analytics technology including geographic information system (GIS) supported by ESRI; utilizing ESRI ArcGIS Pro, ArcGIS Online, ArcPy, ESRI Dashboards; creating static and interactive maps; utilizing Spatial joins, buffer analysis, and proximity analysis; utilizing Python (Pandas, GeoPandas, PySpark) and SQL within Databricks and Snowflake environments; operating GIS Tools and Technologies, including Feature classes, shapefiles, WKT/WKB, projections; using GeoJSON, PostGIS, PgAdmin; utilizing visualization tools:Power BI, ESRI Dashboards and Viewers; employing Cloud and Big Data Platforms:Azure Synapse, Palantir Foundry; using ETL Tools: Alteryx, Azure Data Factory; and utilizing and transforming data in different formats to ensure the data can be utilized for Geospatial analytics.
Our Lead Advanced Analytics earn between $146,880 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and benefits:
· Medical/Dental/Vision coverage
· 401(k) plan
· Tuition reimbursement program
· Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
· Paid Parental Leave
· Paid Caregiver Leave
· Additional sick leave beyond what state and local law require may be available but is unprotected
· 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 Programs (EAP)
· Extensive employee wellness programs
· Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40
Time Type:
Regular
Location:
Dallas, Texas
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
Compétences linguistiques
- English
Avis aux utilisateurs
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