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Data Analytics Analyst II
Firm Analytics partners with business areas to provide analytical and financial insights for firm decision making and strategic planning. Data & Analytics utilize advanced data manipulation techniques and tools in their expertise of sourcing and transforming of data that provide actionable insights.
Identify, extract, clean, transform, validate and model data across multiple domains using various technologies and languages (SQL, Hive, Pig, etc)
Utilize new and advanced methods to extract, transform and load data
Build requirements for, develop and enhance automated processes that provide functional areas with data and information
Analyze the effectiveness of programs, summarize and present data to enhance future efforts using appropriate statistical methods.
Document, monitor, and proactively recommend improvement to processes and controls related to area responsibilities while quantifying the impact of changes for leaders.
Develop business relationships and partnerships with cross-functional targeted business owners and senior leaders across the organization.
Collaborate with cross-functional teams responsible for implementing projects in support of divisional and firm-wide business objectives; occasionally lead cross-functional teams responsible for divisional objectives while following an analytics development lifecycle
Educate other team members, associates and leaders across the firm on data and statistical concepts and best practices
Communicate across a wide range of audiences with specialized subject matter expertise including compliance, marketing, products, branch development, and technology.
Utilize a strong understanding of the Company Solutions-Based Approach to investing that includes client needs, client goals, and tailored solutions
Train and mentor lower level analysts to follow appropriate procedures and understand the best practices for interacting with the information system
Undergraduate degree required, preferably in the areas of mathematics, finance, business, engineering or information systems. Advanced degree is a plus.
3 years business experience in marketing, finance, data analytics, or information systems fields preferred
Ability to prioritize and execute on multiple tasks/projects and adjust to changing priorities with minimal leader required
Ability to extract and analyze large amounts of data using various tools
Moderate analysis skills, primarily investigating and explaining trends and variances using statistical techniques required
Works effectively both independently and in a team environment required
Ability to effectively communicate with associates and leadership in cross-functional settings using verbal, written and presentation skills required
Moderate understanding of the firm and how data impacts decision making in each functional area supported required
Ability to execute pre-existing project plans and possesses basic project management skill.
Strong analytical, critical, and systems thinking required
Technical proficiency preferred in the following:
◦ An advanced ability to interact with various database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL)
◦ Data manipulation languages such as SQL, Hive, Pig, XML
◦ Statistical tools such as SAS, SPSS, R, or Jump
◦ Microsoft Excel - experience using pivot tables, formulas, macros, vba, charts/graphs
◦ Business Intelligence such as Hyperion, OBIEE, or IBI WebFOCUS, Sharepoint
◦ Visualization tools such as Tableau, Qlikview, or birst
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