... data migration (LTMC), and performance tuning Collaborate with functional teams to translate business requirements into technical specifications Provide L2/L3 production support, resolve tickets (P1 ...
New
3 Highbrow Data Jobs Hiring Near You
... data migration (LTMC), and performance tuning Collaborate with functional teams to translate business requirements into technical specifications Provide L2/L3 production support, resolve tickets (P1 ...
New
SAP CRM Functional Consultant
$73.50 - $100.25/hr
Manage and troubleshoot CRM-ECC Middleware, including RFC connections, data replication (Business Partners, Material Master), and BDoc error handling.Requirement Engineering: Conduct workshops to ...
New
SAP CRM Functional Consultant
$73.50 - $100.25/hr
Manage and troubleshoot CRM-ECC Middleware, including RFC connections, data replication (Business Partners, Material Master), and BDoc error handling.Requirement Engineering: Conduct workshops to ...
New
APIs & Data: Strong familiarity with the Jira Cloud REST APIs and leveraging data effectively within Forge applications. Architecture: Solid knowledge of Forge authentication mechanisms, asynchronous ...
APIs & Data: Strong familiarity with the Jira Cloud REST APIs and leveraging data effectively within Forge applications. Architecture: Solid knowledge of Forge authentication mechanisms, asynchronous ...
Highbrow Jobs Information
What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.
How does a Data Analyst typically collaborate with other departments within an organization?
Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.
What are data jobs?
Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.
What is the difference between Data vs Data Analyst?
| Aspect | Data | Data Analyst |
|---|---|---|
| Required Credentials | Typically a degree in computer science, information technology, or related fields | Same as Data, often requiring a degree in statistics, data science, or related areas |
| Work Environment | Data professionals work in IT, data engineering, or database management settings | Data analysts work in business, finance, marketing, and similar industries analyzing data for insights |
| Employer & Industry Usage | Used across tech, finance, healthcare, and more for data management and infrastructure | Commonly employed in business sectors to interpret data and support decision-making |
Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.
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Job description
Key Responsibilities
Develop and enhance SAP CRM Web UI components including BSP pages, BOL/GENIL programming, and PPF actions
Build UI5/Fiori applications using CDS views, annotations, and OData services
Design and implement custom ABAP solutions including reports, BADIs, user exits, IDocs, RFCs, and forms (Adobe/Smart Forms)
Manage CRM-ECC Middleware integration, troubleshoot BDocs, monitor queues (SMQ1/SMQ2), and resolve replication errors
Support S/4HANA implementation and conversion activities including code remediation, data migration (LTMC), and performance tuning
Collaborate with functional teams to translate business requirements into technical specifications
Provide L2/L3 production support, resolve tickets (P1/P2/P3) within SLA using tools like ServiceNow or JIRA
Work in Agile/Scrum methodology with Azure DevOps or JIRA