Senior Data Analyst

Our client is seeking a talented senior level Data Analyst to lead a highly complex Data Centric system development. Ideal candidate must have prior experience working with data centric applications and business reporting while working with very large and complex datasets. Candidate will be responsible to design, develop and maintain a data analytical platform that will require data cleansing and developing a complex business intelligence model using data visualization and predictive modeling techniques.

The ideal candidate will have strong experience working closely with business and technical teams to design and develop tools and processes to collect, analyze and process large volumes of raw data. The Data Analyst will also be responsible for monitoring and analyzing data accuracy, automate data collection and processing, data modeling, building data visualization tools, dashboards, and reports. The ideal candidate must conduct thorough business requirements analysis to understand and develop technical models to provide sustainable and scalable solutions to meet business needs. Furthermore, the Data Analyst should have strong communication and organizational skills, attention to detail, problem-solving skills. Candidate should have deep technical and analytical skills to break down complex business requirements and provide solutions with high visibility and impact for the business. The candidate should also be able to work on multiple projects at the same time and handle multiple timelines.

Requirements

Primary Responsibilities

Partner with business and technical groups and actively engage in strategic initiatives requiring complex analytic models and solutions.

Independently lead design sessions, perform data cleansing, and implement new data analytics tools to extract business intelligence from a business model with large volumes of data.

Must be able to collect, store and associate different data model from different data sources.

Process data, including data cleansing and transformation, in preparation for data analysis.

Use statistical methods and data visualization tools to analyze data, identify trends and patterns.

Create reports, graphs and other visualizations to present and explain data to business.

Working with business and technical members to ensure data is collected accurately and up-to-date.

Identify business data collection and analysis area of improvement or suggesting changes to current business processes.

Recommend new tools or technologies that can help streamline data analysis.

Able to develop and refine predictive models that can be used to make informed decisions.

Able to work with machine learning algorithms to analyze data is a plus.

Work with business users and technical teams to research, understand, and document technical specifications using common tools such as JIRA, VISIO, SharePoint, MS Office Suite.

Ability to work independently as well as part of a data team in fast paced and dynamic environment.

Qualifications

BS/MS in a relevant field such as mathematics, statistics, or advanced computer science.

8+ years of relevant hands-on experience in Business Intelligence domain working as a Data Analyst/Scientist.

Must have strong analytical skills and be able to use statistical and data analysis tools to interpret data and identify trends and patterns.

Must be strong in data collection and transformation using SQL, Excel, Python as well as analytical tools such as Power BI or Tableau.

Strong communication skills to effectively communicate findings to technical team and business stake holders.

Posse great attention to detail and able to spot patterns in large and complex data sets.

Must be able to work with business, technical teams to learn and understand business and their data.

Able to develop solutions and data insights and transform them into recommendations for decision makers.

Certification in Business Data Analytics Certification preferred, but not required.

Some background in environmental issues, energy, or government experience preferred but not required.

Desired Skills

Must have exceptional verbal and written communication skills.

Must be a quick and enthusiastic learner.

Must be able to recommend best practices for Data Governance.

Effective negotiator with the ability to successfully balance business needs with IT time and resource constraints and arrive at mutually acceptable outcomes.

Comfort working in a fluid environment where visions and requirements may change.

Must be able to work directly with end-users to ensure that the reports meet requirements.

Must be able to direct technical staff with a collaborative, hands-on approach.

Applies a proven customer-first approach when working with others.