Data Analyst
Position : Data Analyst / Analytics
Duration : 36+ months
Location : Atlanta, GA 30308 onsite 3 days a week
I am looking for a Data Analyst with 2-5 years of experience in SSIS and data visualization tools experience. The ideal candidate would have some experience in predictive modeling and machine learning techniques along with the ability to interpret data accurately and present the results.
QUALIFICATIONS
- Masters Degree in a quantitative discipline or minimally a Bachelors Degree from an accredited university with a focus in Business Analytics, Economics, Computer Science, Mathematics, Engineering, Finance, or other related fields of study
- Advanced proficiency in Microsoft Office programs (Excel, Word, PowerPoint, Access)
- Strong experience solving analytical problems using quantitative approaches.
- Proven record of experience working with large, complex databases and use of statistical models for valuation or prediction
- Advanced proficiency using data warehouse and data mining tools, especially SQL.
- Experience collecting data from multiple sources using automation and ETL tools such as SSIS.
- Experience with visualization tools such as Tableau and Power BI
- Working knowledge of predictive modeling and machine learning techniques, coupled with the ability to accurately interpret and present results.
- Ability to manage multiple projects simultaneously with several cross-functional stakeholders in a timely fashion with measurable results.
Did you know about Sterling? As a Sterling W2 employee on contract, you are eligible to receive a Full Employee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan.
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.
Related Jobs
Data Analyst
Position : Data Analyst / Analytics
Duration : 36+ months
Location : Atlanta, GA 30308 onsite 3 days a week
I am looking for a Data Analyst with 2-5 years of experience in SSIS and data visualization tools experience. The ideal candidate would have some experience in predictive modeling and machine learning techniques along with the ability to interpret data accurately and present the results.
QUALIFICATIONS
- Masters Degree in a quantitative discipline or minimally a Bachelors Degree from an accredited university with a focus in Business Analytics, Economics, Computer Science, Mathematics, Engineering, Finance, or other related fields of study
- Advanced proficiency in Microsoft Office programs (Excel, Word, PowerPoint, Access)
- Strong experience solving analytical problems using quantitative approaches.
- Proven record of experience working with large, complex databases and use of statistical models for valuation or prediction
- Advanced proficiency using data warehouse and data mining tools, especially SQL.
- Experience collecting data from multiple sources using automation and ETL tools such as SSIS.
- Experience with visualization tools such as Tableau and Power BI
- Working knowledge of predictive modeling and machine learning techniques, coupled with the ability to accurately interpret and present results.
- Ability to manage multiple projects simultaneously with several cross-functional stakeholders in a timely fashion with measurable results.
Did you know about Sterling? As a Sterling W2 employee on contract, you are eligible to receive a Full Employee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan.
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.
Data Analyst
At this time, we are seeking applicants that are eligible to work in without any sponsorship requirements either now or in the future.
Overview :
In this role, Data Analyst will analyze, refine, and integrate complex data to help our customers solve important business problems.
Partner with our Customer Success Managers and Senior Data Dcientists to uncover actionable data insights, you’ll get to dive deep into the automotive world.
Responsibilities
- Acquires data from multiple data sources either ming the data from our databases and / or collecting the data from our data scientist teams.
- Utilize technical expertise to ensure data is accurate and high-quality.
- Analyzes complex data sets using statistical techniques to interpret trends and patterns.
- Utilize data cleaning, data validation and data presentation techniques and organizes the data to generate reports and presentations.
Skills Requirements :
- Minimum 3 years of professional work experience in Data Analysis and working with complex data sets is required.
- Strong analytical skills with the ability to collect, analyze, organize, and disseminate significant amounts of information.
- Attention to details with 100% accuracy is required to generate meaningful data driven reports and presentations.
- Proficient in writing complicated SQL queries, Python scripts, report writing and presenting findings.
- Ability to work well in a fast-paced, dynamic environment.
- Able and willing to learn new concepts / skills quickly.
- 3 years of professional work experience in writing complex SQL Queries including but not limited to Joins and Views
- At least 1 year of professional work experience utilizing Python Scripts
- At least 6 months of Professional work experience using Tableau and SSRS
- Extensive experience using MS Excel for data manipulation.
- Powersports / Marine / RV dealership experience preferred
Able to provide work examples and willingness to take written tests
Salary Range : $86,000 - $105,000
CDK Global is committed to fair and equitable compensation practices. Compensation packages are based on several factors, including but not limited to skills, experience, certifications, and work location.
The total compensation package for this position may also include annual performance bonus, benefits and / or other applicable incentive compensation offer Medical, dental, and vision benefits in addition to :
Paid Time Off (PTO)
401K Matching Program
Tuition Reimbursement
At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities.
We are open, curious and encourage different views, so that everyone can be their best selves and make an impact.
CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law.
Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.
Data Analyst
Position : Data Analyst / Analytics
Duration : 36+ months
Location : Atlanta, GA 30308 onsite 3 days a week
I am looking for a Data Analyst with 2-5 years of experience in SSIS and data visualization tools experience. The ideal candidate would have some experience in predictive modeling and machine learning techniques along with the ability to interpret data accurately and present the results.
QUALIFICATIONS
- Masters Degree in a quantitative discipline or minimally a Bachelors Degree from an accredited university with a focus in Business Analytics, Economics, Computer Science, Mathematics, Engineering, Finance, or other related fields of study
- Advanced proficiency in Microsoft Office programs (Excel, Word, PowerPoint, Access)
- Strong experience solving analytical problems using quantitative approaches.
- Proven record of experience working with large, complex databases and use of statistical models for valuation or prediction
- Advanced proficiency using data warehouse and data mining tools, especially SQL.
- Experience collecting data from multiple sources using automation and ETL tools such as SSIS.
- Experience with visualization tools such as Tableau and Power BI
- Working knowledge of predictive modeling and machine learning techniques, coupled with the ability to accurately interpret and present results.
- Ability to manage multiple projects simultaneously with several cross-functional stakeholders in a timely fashion with measurable results.
Did you know about Sterling? As a Sterling W2 employee on contract, you are eligible to receive a Full Employee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan.
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.
Data Analyst
Description
Your Role
The Data Analyst will perform data acquisition, transformation, enrichment, and analysis in support of Internal Audit activities.
The Data Analyst will liaise and collaborate with Risk Intelligence and Analytics colleagues and Internal Audit teams to design creative use cases, acquire, transform, enrich, and analyze data to deliver meaningful results and insights to stakeholders.
You will be responsible for :
Acquiring, transforming, enriching, and analyzing data supporting risk and control related activities
Designing, building, and maintaining analytical tools supporting individual tasks and projects
Developing and maintaining programming code, software packages, and data sets to supporting ongoing analytics activities
Exercising judgment in determining application of data analytics for business processes
Keeping apprised of broader Risk Intelligence activities, capabilities to maximize effective use of strategic development and technologies
Supporting business partners, data analysts, consumers’ understanding of analysis logic and outcomes
Introducing new data analytic techniques, tools, and technologies to business partners and consumers
Sharing learnings and alternative techniques with other Engineers and Data Analysts
Performing other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit
Actively contributing to developing a culture of innovation within the department and risk and control awareness throughout the organization
The experience you bring :
Minimum of 3-4 years of experience in data analysis, data transformation, or data-related risk management or auditing roles;
previous experience in programming will be considered
Bachelor’s degree in Information Systems, Finance, Accounting, or Economics preferred. Other technology or quantitative related degrees considered depending upon relevant experience
Experience with auditing, compliance, or other risk management activities preferred
Experience within the financial services sector preferred
Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements.
Thoroughly identify and investigate issues and determine the appropriate course of action
Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management.
Experience using end user data analytics software such as Tableau, PowerBI, SAS, Excel a plus
Experience with data interrogation and enrichment using Snowflake a plus
Proficient in code development supporting data analytics and visualization a plus, specifically programming languages and libraries such as R, Python, Streamlit, Snowpark, and Plotly
Understanding of capital markets, financial securities, and financial concepts such as portfolio management, regulatory compliance, and risk management
Familiarity with information systems utilized by asset management firms, such as order management systems and portfolio management systems a plus
Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
Demonstrated ability to work in a diverse, cross-functional, and international environment
Professional audit, risk management, analytics, business intelligence, and / or development designation (e.g., CPA, CISA, CIA, CFA, CAP, CBIP, or other relevant product specific certificates) or actively pursuing the completion of such designation preferred
Other certifications considered depending on domain and relevant experience
Potential for up to 10% domestic and international travel
Full Time / Part Time
Full time
Worker Type
Employee
Job Exempt (Yes / No)
Workplace Model
At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value.
As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office.
What’s in it for you?
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including :
Flexible time off and opportunities for a flexible work schedule
401(K) matching of 100% up to the first 6% with additional supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role.
It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status.
Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Data Analyst
OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities.
We are currently seeking a qualified Data Analyst to join our client’s organization and contribute to their ongoing success.
Responsibilities :
- Collect information and generate reports on the key metrics related to Call Center Ops
- Involve in providing day-to-day reporting and analysis around agent level performance, call flow and other communication channels thereby improving customer experience
- Collaborate with CSR teams in identifying potential operational issues and constraints
- Responsible for monitoring and maintenance of core processes, features, and functions
- Ability to understand different process flows and diagnose issues through cross functional collaboration across platforms and teams
- Work with developers, other analysts, and management to support process improvement opportunities
- Effectively prioritize and manage escalations on all issues and concerns
Other Duties
- Develop and propose analytical solutions and strategies to tackle business challenges. Collaborate with business teams.
- Collect and organize data from primary and secondary data sources and databases using SQL. Interpret data, structure analyses, and analyze results using statistical techniques, and programming languages (Python, R) to provide recommendations to different business functions
- Analyze data using statistical models and analysis to solve business issues
- Develop basic AI / ML models (e.g., Decision trees, Regression) to support a variety of business outcomes, such as but not limited to underwriting, operations etc.
- Create reports using BI tools (Tableau, PowerBI, Excel) and databases to addresses specific issues
At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities.
As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package.
OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.