28 days old

Business Intelligence Analyst

Philadelphia, PA 19103
  • Job Code

Business Intelligence Analyst

- Measure the performance and customers' experience through machine and contact data

- Collaborate with product owners and engineering teams to identify new data sets and build new KPI to help understand the customers experience

- Apply machine learning and parametric statistical techniques to identify outliers, anomalies, and changes in time series data.

- Develop data visualizations in Tableau and R

- Clearly communicate and present findings

- Responsible for gathering and assessing business information needs and preparing system requirements

- Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, Meta data and repository creation.

- Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse for accuracy

- Interacts with user community to produce reporting requirements

- Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage

- Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses

- Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments

- Makes recommendations towards the development of new code or reuse of existing code.

- Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations


- Bachelor's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience

- Typically has 3 - 5 years of IT work experience in business intelligence tools and systems

- Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools

- Must have an extensive knowledge of data warehouse and data mart concepts

- Experience in systems analysis, design and a solid understanding of development, quality assurance and integration methodologies

- Typically has 3+ years of programming/systems analysis experience

- Analyzing large data sets to develop custom models and algorithms to drive business solutions

- Enhancing data collection procedures to include information that is relevant for building analytic systems and models

- Processing, cleansing, and verifying the integrity of data used for analysis

- Conducting advanced statistical analysis to determine trends and significant data relationships

- Performing ad-hoc analysis and presenting results in a clear manner

- Lead and coordinate meetings with key project stakeholders

- Collaborate with leadership team to identify, define and measure KPIs needed to drive improvement in customer experience

- Develop reporting requirements and specifications with business and development teams.

- Design, build and maintain dashboards that will be used by other teams and presented to Executives during weekly meetings, enabling stakeholders to make effective decisions

- Use a variety of tools to analyze system performance and user behavior


- Statistical modeling, machine learning, data management, data wrangling/cleaning, data quality assurance, research methodologies.

- SQL, R, SAS, IBM SPSS, ESRI ArcGIS, Tableau, Latex, MS Office products.

- Regression analysis (linear, logistic, penalized), experimental designs, ANOVA, multiple comparisons, survival analysis, categorical data analysis, supervised statistical learning (SVM, discriminant analysis, random forest, boosted models), unsupervised learning (PCA, clustering/segmentation, association rules/market basket).


  • Information Technology

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Business Intelligence Analyst

Randstad Technologies
Philadelphia, PA 19103

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Philadelphia, PA

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