Job Description

JOB SUMMARY
Responsible for executing the full-scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. This position requires a strong command of techniques and algorithms as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics.

This leadership position is responsible for recruiting and supervising a small staff, formulating and managing projects, and working with key customers in order to establish roadmaps, present results, and resolve issues.

MAJOR DUTIES AND RESPONSIBILITIES
Plan and lead the execution of the analytics life-cycle, leveraging significant experience in leading this type of work in previous roles

Use survey varied data sources in relational databases, Hadoop, flat files, and external sources for analytic relevance

Execute the full-scope of advanced analytic techniques

Perform problem formulation, requirements analysis, and planning

Responsible for data surveying, profiling, and pre-processing

Model data management for validation (e.g. holdout, cross-validation)

Selection of appropriate algorithms and execution

Responsible for interpretation of results for both causal inferences and predictive effectiveness

Synthesize appropriate recommendations for action and changes

Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution

Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds

Develop an effective leadership team and assists them with developing their direct reports to drive a high performance culture.

Manage internal client relationships, including planning, budgeting, roadmap, issue resolution, and overall accountability for results and client satisfaction

Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem

Perform other duties as required

REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge

* Ability to read, write, speak and understand English
* General leadership and management experience in the field of analytics and/or data management. Expert-level skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
* Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
* Expert-level logical and analytic skills
* Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
* Data profiling, distributions, confidence intervals, hypothesis testing
* Holdout for testing, cross-validation
* Data pre-processing, exploratory data analysis using a variety of techniques
* Regression and classification using linear models, GLMs, and tree-based methods
* Interpretation of model results, consideration of causality, treatment of multicollinearity
* Strong synthesis and presentation skills
* Ability to communicate results and recommendations to a wide variety of audiences
* Basic understanding of data architecture, data warehouse and data marts
* Experience in the telecommunications industry, or two other consumer-based industries
* Demonstrated ability and desire to continually expand skill set, and learn from and teach others

PREFERRED QUALIFICATIONS
Skills/Abilities and Knowledge

* Experience with Teradata: SQL, UDFs, interpreting explain plans, basic performance-tuning, and use of database catalog
* Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
* Background with Cable systems and operations
* Experience with Hadoop, particularly HIVE and Spark
* Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
* Knowledge of other relevant techniques such as text analysis and text mining
* Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop

Education
Master's degree in computer science, mathematics, statistics, operations research or other quantitatively-focus field

Related Work Experience
10 + Years - Statistical Analysis
8 + Years - Business Analysis
8 + Years - SQL/R/SAS Programming
5 + Years - Management and Supervision
5 + Years - Internal client relationship management
2 + Years - Database Design or Database Modeling

WORKING CONDITIONS
Office environment
Travel as required

For more information on Spectrums benefits, please click here.