Business Intelligence Analyst Salary in Alpharetta, GA

Location: Alpharetta, GASalary: NegotiableDescription: Working Model: Hybrid- In Office Tuesday and Thursday every week - Local candidates only Location: Alpharetta, GA Duration: 18 + Months Targeted Years of Experience: 10+ years Responsibilities: • 10+ years of experience in data engineering. • Design, develop, and maintain new data capabilities and infrastructure for utilizing Company, third-party, and partner data to enhance Company data products and solutions • Design, develop, and implement scalable data pipelines and ETL/ELT processes using SSIS, Python and API integrations • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation • Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions • Work with large datasets, ensuring data quality, accuracy, and performance • Implement data transformation, integration, and validation processes to support analytics and reporting needs • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes • Document data processes, data lineage, and technical specifications for future reference • Review and analyze existing data collection systems, and make recommendations on improvement, maintenance, or other factors to improve the system. • Develop, build, and implement new data collection systems where needed. • Provide training and guidance on new systems that are being implemented. • Participate in code reviews, ensuring adherence to coding standards and best practices • Collaborate with other teams to automate deployment and monitoring of data pipelines • Proven experience in data engineering, with a strong track record of designing and implementing data solutions • Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (Spark, Hadoop, etc.) • In-depth understanding of data warehousing concepts, cloud platforms (GCP), and data modeling techniques • Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools(SSIS) • Passion for and engagement with emerging trends in data, AI/ML, analytics, and digital experiences • Experience in data product development, analytical models, and model governance • Experience in anonymizing data and managing the use of data • Experience in data hygiene procedures, identity resolution capabilities or data management a plus • Familiarity with BI technologies (e.g., Microsoft Power BI, Tableau) • Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization • Familiarity with industry best practices for collection and use of data • Outstanding problem-solving skills and the ability to navigate complex data challenges • Proven abilities to take initiative and be innovative • Analytical mind with a problem-solving aptitude • Effective communication and collaboration skills to work with both technical and non-technical stakeholders MUST HAVE SKILLS: Microsoft SQL Server Microsoft Business Intelligence(SSIS,SSAS & SSRS) Python GCP Data Services Tableau EDUCATION/CERTIFICATIONS: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Microsoft/Oracle SQL, GCP Data Engineer Certification, Tableau Data Analyst Certification Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com

Location: Alpharetta, GADescription: JOB TITLE: Enterprise Data Architect / Data Modeler MUST HAVE SKILLS (Most Important): 8+ years in a data architect role with big data platforms/environments Data Warehouse Data Modeling using Erwin tool Expert SQL skills with HIVE and Teradata and other RDBMS technologies Data Profiling skills Data Analyst Skills Deep understanding of business domain data and how it is used for metrics and analytics data designs. Design of data enterprise architecture blueprints and strategy Deep understanding of designing and documenting taxonomy and data lineage Skills to ensuring the integrity of data designs and governance for data products Skills necessary for data design and reviews of high level design requirements. Proficient in all modeling techniques - Data Flow, ER Diagram, Conceptual, Logical, Physical, and Metamodels Metadata and data taxonomy management Experienced in Master Data Management Experience implementing data catalogs using icp4d Experience in Implementation/designs for data security classification and protection. Excellent collaboration skills Building strong working relationship and develop deep partnership with the business. Excellent communication skills to collaborate with clients, developers, and QA analytics to design and implement data solutions in production. Being a subject matter expert on the enterprise data model and a mentor to junior team members. DESIRED SKILLS: Bachelor's degree in Computer Engineering, or Information Systems with ten or more years of data architecture and strategy work experience Eight or more years of relevant work experience in data warehouse environments designing backend ETL and database design solutions supporting metrics, analytics, reporting, and insights. Eight or more years of designing/developing/modelling analytics BI systems, metrics, and KPI s. Experience in leading data architecture and design projects and delivering from end to end. Data Architecture with Business Analysis skills. Expert SQL development skills and working knowledge of complex SQL joins and coding. Expertise with ERWIN other data modeling toolsets. Expertise in Teradata, MS SQL Server, and Hive/Presto, PostgreSQL, and Cassandra Strong understanding of Data Warehousing and Data Lakes architectures and implementations (three or more years of data strategy, design and implementation experience with big data architectures). Strong understanding of corporate data security roles and data classification (onshore, offshore, off-premise). Skills to assess and analyze existing database design solutions to ensure optimal designs for query performance. Motivation to lead efforts, communicate effectively, and bring projects to closure on time with positive results. An ability to simultaneously manage and lead data architecture deliverables across multiple swim lanes. Two or more years of experience working with and designing Federated database technology solutions. Deep technical expertise in data catalog (ICP4D preferred) and MDM industry strategy, standards, and toolsets. Expertise in data management and data analysis in relational database and in big data Hadoop environments. Experience building Marketing, Prospect, Cross Channel, MDM, and Customer Data Platform data solutions will be a plus. Exposure to Big data implementations, and Elastic Search technologies. Exposure to NLP and chatbot technology use cases or projects. Experience/expose to data solutions platformed on Google Cloud Platform (GCP) is a plus Excellent organizational and planning skills. Ability to work with minimal supervision. Expert critical thinking skills. Ability to think outside the box and explore, develop, create, design innovative solutions. Demonstrated excellent verbal and written communication skills. JOB DUTIES: This Data Architect position will drive innovation, profitability, revenue, and business growth opportunities by applying advanced database modeling skills with Real-time/data warehouse data architecture design principles to support metrics, analytics, and self-service business intelligence across the enterprise. This role will require leadership for projects with a strong focus on business knowledge coupled with a deep understanding of data organization, database design, data governance strategy, ER data modeling, metadata, data lineage, data classification and taxonomy, table design, data security, semantic layer view design, data catalog, data linkage designs supporting a unified data model to be used across the organization for Analytics, Operational reporting, Executive dashboards, scorecards, Regulatory reporting, AI/ML, and data insights. This position is integral in supporting the Data Architecture warehouse projects that at the core drive data insights and analytics, marketing effectiveness, channel optimization, improved customer experience, customer acquisition, and metrics used to measure compliance and improve Operational efficiency. You will work on a cross-functional team of talented UI developers, business clients, software designers, and data engineers to play a key role in requirements, design, and in developing and delivering the next generation enterprise data warehouse solutions required by the business for insights on new product offerings and services, tactical data warehouse, and big data integration, and self-service metrics, and business intelligence reporting. You ll gather detailed business requirements from clients, work with enterprise architects and work jointly on data designs to support applications/metrics, design data interfaces and stores as required, lead data architecture and data product deliverables, and oversee the development and QA activities supporting data governance, Operational reporting, insights, and analytics. EDUCATION/CERTIFICATIONS: Bachelor's degree in Computer Engineering, or Information Systems with ten or more years of data architecture and strategy work experience LOGISTICS: Standard Work hours Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com

Do you have a passion for data and understanding the end-to-end business processes that generate it? Do you have a background in insight analysis, business intelligence or data governance? Are you ready to leverage that passion and experience to support the design and development of next-level reports, dashboards, and advanced analyses to enable data-driven decision making? Equifax is looking for a Insight Analyst/Steward to support our Direct to Consumer (D2C) Data & Analytics team. This is an exciting opportunity to explore and leverage diverse datasets to build insights, while driving data standards and governance practices across the D2C business. What You'll Do Build an understanding of the D2C business at a level of detail that enables you to derive insights and solve problems leveraging complex data assets generated by multiple, disparate systems Create visualizations that inform our business stakeholders on key metrics and trends to support business monitoring and strategic decisioning Help to create and maintain standards, definitions, documentation and organization for metrics, reports, scorecards, and dashboards within the D&A team Effectively collaborate and communicate with all stakeholders and ensure internal client satisfaction What Experience You Need Bachelor's degree in Business Administration, IT, BI or Analytics or related field 3-5 years of experience in business analysis, business intelligence, or data management with a proven track record of excellence and business-minded experience Previous collaboration with both non-IT stakeholders and IT stakeholders Ability to synthesize non-technical business stakeholder needs into analytical deliverables Experience with Big Data and Cloud environments is highly valued Functional knowledge of SQL and data visualization tools such as Looker, Spotfire, or Tableau What Could Set You Apart An attitude of ownership that will be celebrated and supported A combination of data skills and business acumen that will drive respect and strong relationships across functional organizations Proven ability to quickly learn new applications, processes, and procedures Metadata management experience Experience with Google Cloud Platform and BigQuery Experience with web analytics tools like Google Analytics & Google Tag Manager

Location: Alpharetta, GADescription: Working Model- Hybrid, at least one day a week in the office, and they will need to come in if there is a mandatory meeting. Local candidates only to Alpharetta GA 10+ years of experience in data engineering. Design, develop, and maintain new data capabilities and infrastructure for utilizing client, third-party, and partner data to enhance customer data products and solutions Design, develop, and implement scalable data pipelines and ETL/ELT processes using SSIS, Python and API integrations Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions Work with large datasets, ensuring data quality, accuracy, and performance Implement data transformation, integration, and validation processes to support analytics and reporting needs Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes Document data processes, data lineage, and technical specifications for future reference Review and analyze existing data collection systems, and make recommendations on improvement, maintenance, or other factors to improve the system. Develop, build, and implement new data collection systems where needed. Participate in code reviews, ensuring adherence to coding standards and best practices Collaborate with other teams to automate deployment and monitoring of data pipelines Proven experience in data engineering, with a strong track record of designing and implementing data solutions Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (Spark, Hadoop, etc.) In-depth understanding of data warehousing concepts, cloud platforms (GCP), and data modeling techniques Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools(SSIS) Passion for and engagement with emerging trends in data, AI/ML, analytics, and digital experiences Experience in data product development, analytical models, and model governance ? Experience in anonymizing data and managing the use of data Experience in data hygiene procedures, identity resolution capabilities or data management a plus Familiarity with BI technologies (e.g. Microsoft Power BI, Tableau) Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization Familiarity with industry best practices for collection and use of data Outstanding problem-solving skills and the ability to navigate complex data challenges Proven abilities to take initiative and be innovative ? Analytical mind with a problem-solving aptitude Effective communication and collaboration skills to work with both technical and non-technical stakeholders MUST HAVE SKILLS: Microsoft SQL Server Microsoft Business Intelligence(SSIS,SSAS & SSRS) Python GCP Data Services TableauEDUCATION/CERTIFICATIONS: ? Bachelor's or Master's degree in Computer Science, Engineering, or a related field ? Microsoft/Oracle SQL, GCP Data Engineer Certification, Tableau Data Analyst Certification Regards, ---------------------- Siddhartha (SID) Awasthi, Senior Recruiter, The Judge Group Suite 100, 151 South Warner Road, Wayne, PA 19087 ☏ (610) 600-0296 | [email protected] | www.judge.com | https://www.linkedin.com/in/siddhartha-awasthi-77495596/ Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com