Hello

Greetings From,

IDC Technologies Inc.



Any interest in following position.

Title: *Senior Data Analyst*

 Location:  *NYC*  ( Locals )

 Duration : 6+ Months



*Job Description*





Description

Our client is seeking a Senior Data Analyst to profile source data and
analyze, design, develop, and test functionality that will prepare data for
migration to the new target system.

The Senior Data Analyst will collaborate with stakeholders (operational
business managers, project managers, business analysts, subject matter
experts and other members of the Data Readiness Team)  to identify data
issues that affect migration of data to the new target system and bridging
of data between the legacy system and new system.

 Experience

·         A minimum of 8 years of experience working on Data Issues
analysis and Cleansing projects with progressively increasing
responsibilities in Data Management is preferred.

·         Minimum  years’ experience working with SQL Server Databases, and
SQL

·         Experience leading issue analysis sessions

·         Demonstrated success in facilitating issue resolution.

·         Participation in a diversified range of successful projects that
demonstrate possession of required skills listed above

·         *Certified Data Management Professional (CDMP)- Certification
Programs from ICCP- Institute for the Certification of Computing
Professionals  Preferred*

·         Certified Information Management Professional (CIMP) Preferred



Competencies/Skills Set:

·         Very advanced analytical skills

·         Very good organizational/multi-tasking skills

·         Very solid T-SQL ad-hoc query coding skills

·         Solid understanding of Relational Database architectures

·         Superior business, systems, and operations analysis aptitude

·         Superior oral and written communication skills

·         Superior facilitation skills including the ability to plan,
resolve issues, deliver and document workshops / working sessions

·         Ability to work in a self-motivated, self-directed manner within
broad parameters

·         Ability to manage a multi-dimensional, multi-project high
pressure workload

·         Equally effective as an individual contributor,  team member, or
team lead

·         Ability to quickly bring others up to speed, to pass on
knowledge, skills and responsibilities to a successor

·         Pension administration knowledge is a plus

·         Knowledge of structured project management and system development
methodologies

·         Superior mathematical skills, able to work with numbers,
financial figures and statistics

·         Ability to act as a Business Analyst and extract, document and
analyze data based on feedback from Subject matter experts.

·         Quality assurance of procedures / systems from a data perspective
including data audits.



Data Readiness

With a high degree of independence, can perform analysis tasks related to
Data Readiness Assessment

·         Manage, execute, or collaborate on complex projects related to
Data Readiness and Remediation

·         Perform in-depth research and analysis  to gain an understanding
of business, systems or operational context of data

·         Apply best practices for data assessment and remediation efforts

·         Formulate issue resolution and execute solution delivery

·         Issue identification

·         Issue scope and definition

·         Root Cause Analysis

·         Facilitate working sessions

·         Build consensus

·         Document and report Resolution approach and execution

·         Document detailed solution documentation



Data Issue Management

With a high degree of independence, ensures that data issues identified by
Business Units and analysis during development efforts are resolved and
managed satisfactorily.

·         By assisting the Data Quality Manager in the development and
implementation of approaches and plans for the Data Issues.

·         By participating in the initiation, tracking, testing and
reporting of progress and status of Data Issues.

·         By communicating effectively with IT staff, BSG/UAT, BSG/PMO and
the DQM manager to discuss the scope of data issues.

·         Liaison with Business Unit SME’s, Process Owners, and other
groups to get related business rules and information on data in the
development of specifications for data cleanup.

·         Create all data issue design documents thoroughly and with very
detailed logic

·         By providing updates to the DQM Manager on progress and problems.

·         Perform data analysis where requirements need to be derived from
available documentation, user interviews, and file specifications/samples.



Development Support

With a high degree of independence, supports all Target System development
efforts through analysis, exploration and Mitigation of the Source
System Data

·         Review business requirements, user stories for possible effects
on the current database and future data creation.

·         Canvas and reach out to existing subject matter expert in
different areas.

·         Liaison with programmers to gain knowledge new functionalities
from a data perspective.

·         Analyze and raise data issues based on the data to be used by the
development effort.



Responsibilities Allocation:

·         50% Data Analysis (including data analysis, data profiling, and
test data standards)

·         25% Develop Data Remediation Requirements (including gathering
data requirements, applying data standards, solution definition)

·         20% Assist developers and manual cleanup teams with Remediation
Plans

·         5% Communication with management, development teams, vendors and
systems administrators

Education

·         Bachelor's degree in quantitative / computer science or a related
discipline, or equivalent work experience required


 Thanks and Regards

 Tabish Abdin

Technical Recruiter

 IDC Technologies Inc.

1851 McCarthy Boulevard, Suite 116|Milpitas, CA – 95035
Ph: 408-668-9301
Email: [email protected] Website: www.idctechnologies.com

-- 
*Please send me the resume-*
*[email protected] <[email protected]>*

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