About us
Concord isn’t your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data.

We are purpose-built, merging the industry’s top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience development, and technical platform integration, automation & security engineering.

Evolytics, an award-winning analytics company, was acquired by Concord in 2022. This Entry Level Analyst position is for the Kansas City-based Concord location, which is the former headquarters for Evolytics and is now the Data & Analytics regional office for Concord.

About the role
Are you ready to launch your data career or make a data & analytics shift? The Hybrid Analyst onboarding program is a full-time rotational program designed to expose new hires to all aspects of the Data Lifecycle (Analytics Development, Data Engineering, Data Visualization, Data Analysis, A/B Testing and Optimization, and Data Science).

At the end of the 6-month program, the new hire will formally join a team as a Data Analyst, working directly with clients to address business questions with data. The analyst will be responsible for putting client business questions in context relative to broader organizational strategies and determining the best way to approach them with data.

What we are looking for

• Eagerness to learn and solve difficult problems
• Ability to think strategically and see the “big picture” (ideate for long-term business success, think beyond the task at hand)
• Attention to detail (QA/troubleshoot data, anticipate “holes”)
• Ability to identify appropriate metrics, dimensions, data aggregation and granularity needed for specific analysis; Understanding of how this thought process is driven by the business need, and the impact on results
• Ability to interpret results and clearly convey these to a client
• Works well with others; Heavy collaboration with internal team to coordinate a final product required
• Minimum of a Bachelor’s degree, or a degree in Business, Marketing, Journalism, Computer Science, Information Systems, or a related discipline
• Legally authorized to work in the United States without company sponsorship now or in the future

While we don’t expect you to have all these skills, we will be looking for academic, work experience or exposure to some of the following:

• Data Visualization tools such as Tableau, PowerBI, and/or Data Studio.
• Languages such as Python, R, SQL, and/or JavaScript.
• Digital Analytics tools like Google Analytics, Adobe Analytics and/or Tag Management Systems.
• Concepts such as Search Engine Marketing and A/B Testing.

What you will be doing

• As a Data Analyst at Concord, you will consult with clients and manage deliverables to ensure strategic understanding, and use, of data:
• Partner with clients to understand their business and measurement needs, and guide them on how to best use their data
• Determine KPIs to support business needs
• Develop new reports in support of business questions
• Conduct analysis, identify key insights, and formulate data-driven recommendations for optimization
• Build client relationships, and provide cross-functional project management for all client deliverables

Job specifications

• Employment type: initial 6-month full-time rotation program in our Data and Analytics team and then transition as an Analyst to a specific team.
• Interview process: (1) introductory call, (2) take-home assessment, and (3) interview with the hiring manager.
• Work arrangement: 4-5 days a week on-site.
• Location: Parkville, MO.
• Requirements: Must be legally authorized to work in the United States without company sponsorship now or in the future.

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More than just a consulting firm, Concord is an execution company helping clients enhance customer experience, optimize operations, and differentiate product offerings. From digital transformation and legacy modernization to domain-driven design, we deliver real solutions for the problems our clients face. Join one of the fastest growing consulting firms in the Midwest!

Our core capabilities work together to help companies untangle their toughest business and technology challenges: Business Strategy & Alignment, Digital & User Experience, Cloud Applications & Integration, Data Solutions & Analytics, Quality Engineering, and Information Security.

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Advana is a multi-domain technology platform which offers military and business decision makers, analysts, and users at all levels unprecedented access to authoritative enterprise data and structured analytics in a scalable, reliable, and secure environment. It offers platform-, data analytics-, and data science-as-a-service tools to complete analysis and data exploration and data visualization capabilities. Using one central data platform with right-time data, data tools, and other self-service products, the goal of Advana is to simplify solutions and put the power of analytics in the pocket of every analyst and decision-making authority within the DOD.

Responsibilities:

IW is seeking experienced Data Engineers to join our Advana team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

Responsibilities:

• Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
• Maintain documentation for software applications, workflows, and processes.
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

Qualifications:

• Secret clearance is required.
• Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
• High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Strong problem-solving skills and ability to solve complex data-related issues.
• Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
• Understanding of data modeling/visualization, database design principles, and data governance practices.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
• Must be in the DC Metro area.

Clearance Statement: Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Only US citizens are eligible for a security clearance. For this position, Intelligent Waves will consider only applicants with security clearances or applicants who are eligible for security clearances.

Intelligent Waves LLC is an equal opportunity employer. We are committed to providing equal opportunity to all applicants and employees in full compliance with all applicable state and federal laws prohibiting discrimination on the basis of race, color, age, gender, religion, national origin, disability, sexual orientation and gender identity protected veteran status and individuals with disabilities, or any other class protected by applicable state or federal law.

• Develop and Maintain Data Pipelines: Assist in the design, development, and maintenance of data pipelines using Airflow.
• Data Integration: Support the integration of data from various sources, including Oracle GoldenGate and Snowflake, ensuring data accuracy and consistency.
• Data Quality and Validation: Implement data validation and quality checks to ensure the integrity of the data.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Documentation: Document data flows, processes, and systems to ensure clear communication and knowledge sharing within the team.
• Monitoring and Troubleshooting: Monitor data pipelines for performance and reliability, and troubleshoot any issues that arise.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience: 0-2 years of experience in data engineering or a related role.
• Technical Skills:
  • Experience with Airflow for designing and managing data pipelines.
  • Familiarity with Oracle GoldenGate for real-time data integration.
  • Basic knowledge of Snowflake for data warehousing and analytics.
  • Proficiency in SQL for data querying and manipulation.
  • Basic understanding of ETL (Extract, Transform, Load) processes.
• Soft Skills:
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Attention to detail and a commitment to data accuracy and quality.

Preferred Qualifications:

• Experience with Python or other scripting languages for data processing.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of data modeling and database design principles.
• Knowledge of version control systems like Git.

Company Overview

Fidelity TalentSource is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms in the industry. We welcome individuals from all backgrounds, including technology and customer service, to fill assignments across Fidelity’s U.S.-based regional and investor center locations. If you would like to experience Fidelity’s supportive and collaborative culture while expanding your skill set and developing your professional network, consider a role with Fidelity TalentSource. Apply today at FTSJobs.com.

We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Fidelity TalentSource will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, please contact our HR team at HR@ ftsjobs.com.

Information about Fidelity investments

At Fidelity Investments, our customers are at the heart of everything we do. As a privately held company with a rich 75-year history, our mission has remained the same since our founding: to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money. For information about working at Fidelity, visit FidelityCareers.com.

Fidelity TalentSource’s working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).

Fidelity Investments and Fidelity TalentSource are equal opportunity employers.

Title: Junior Data Analyst
Location: Virginia Beach, VA- 23456
Duration: 6 Months

Systems Analyst Job Duties:

• Supports digital equity project tasks that pertains to reviewing global frameworks and concept mapping to Virginia Beach community and Hampton Roads region
• Supports data aggregation, cleaning, wrangling, preparation and use basic skills to analyze and formulate city data using statistical and other methods to provide insights through data and predictive analytics
• Supports creation of visualizations through story telling of data derived from emerging Internet of things (IoT) sensor technologies and open data registries with data pertaining to Smart Cities
• Supports creation of basic governance model concepts and documentation for climate resilience through the creation of and engaging in support of communication and branding
• Supports research in identifying disparate variables to support and bring resilience to underserved communities in closing the digital divide and other community needs gaps through innovative ideas aligning with the sustainable goals
• Supports research in review and creation of parameters that influence and enhance biodiversity and biophilic nature of the city through review of the biodiversity index and identification of multiple factors with a local perspective
• Supports and provides feedback of Accelerated Analytics
• Familiar with machine learning using scripting languages such as Python, R, or similar.
• Familiar with visualization tools and cloud environments.

Possess strong written and verbal communication skills, a positive attitude, and a willingness to learn.

Minimum/Special/Additional Requirements:

Requires any combination of education (above the high school level) and/or experience equivalent to six (6) years in fields utilizing the required knowledge, skills, and abilities listed above, including at least three (2) years of recent, experience in using varied data from different field and visualization using above mentioned techniques.

Preferred Qualifications:

• Degree in fields related to Science, Math, Physics, Engineering, Statistics, Econometrics, Management or related.6+ years proven experience in science, management, math, modeling, and statistics to drive significant impact and communication through story telling for digital equity and smart city projects
• Good business acumen and scientific understanding of data and parameters influencing climate resilience through science with strong ability to solve business problems through data driven quantitative analysis
• Strong familiarity and experience with data preparation, data wrangling and processing – such as assessment of data quality, and dimensionality reduction, etc.
• Capable of delivering creative analysis, solutions and socializing complicated concepts to both technical and non-technical partners
• Basic knowledge in SQL or other programming languages such as python. Some development experience in at least one scripting language.
• Basic familiarity with relational databases and SQL-like query languages methodologies and provide concise thoughts into proposals, recommendations and findings
• Demonstrated strong written, verbal communication, and presentation skills