Role Description Prepare complex financial reports and analysis for business unit management personnel at all levels. Provide other finance support and special projects as required. Train financial analyst and work closely with Accounting Manager – Finance in developing reports and models to improve the business operations. What You'll Do - Prepare monthly budget variance analysis and forecasting reports and provide recommendations. - Prepare monthly key performance indicator metrics reports and provide analysis on trends and drivers. - Develop financial and business models to provide the business additional insight to make decisions on improving the business. - Prepare and review special projects and initiatives to provide critical feedback to business partners. - Perform consolidation and analysis on annual strategic and financial planning. - Prepare ad hoc reports, analysis and conduct special projects as necessary. - Analyze underlying business factors that drive expenses within the department. - Provide critical feedback on capital appropriation proposals. - Conduct financial review of vendors and review Capital Appropriation Proposals. - Lead process improvement projects. - Promotes safety at all times and complies with safety/ergonomic standards as outlined in relevant company published manuals. Qualifications - English Proficiency Minimum Required: Fluent - Tools: Excel/ Power BI - Advanced - Education Minimum Required: Bachelor - Management Reporting - Intermediate - Data Analytics - Intermediate - Report Automation - Intermediate Benefits - Competitive salary and performance-based bonuses - Comprehensive benefits package - Career development and training opportunities - Dynamic and inclusive work culture within a globally renowned group - Private Health Insurance - Pension Plan - Paid Time Off - Training & Development

Role Description Ciklum is looking for a Senior Data Analyst to join our team full-time in Ukraine. As a Senior Data Analyst, you will partner with Observability Engineers, ML Scientists, Data Engineering, and DevOps to turn raw telemetry into intelligence. In this role, you will lead data analysis efforts—ensuring data quality, cataloging, and governance—while delivering actionable insights that drive strategic decisions in network security and segmentation. Responsibilities: - Business Intelligence & Reporting: - Collaborate with stakeholders (security, product, operations) to define key metrics and reporting requirements. - Design, build, and maintain BI dashboards that surface ingestion health, policy effectiveness, and segmentation drift. - Continuously refine reports and visualizations (Grafana, Looker, Tableau, or Power BI) to meet evolving needs. - Data Analysis & Insights: - Analyze large-scale flow logs, policy-violation records, and asset inventories to uncover trends and anomalies. - Lead deep-dive investigations—e.g., correlating configuration changes to incident rates or unexpected segmentation gaps. - Ensure all ETL pipelines (Airflow-orchestrated Spark jobs) deliver accurate, timely data. - Data Quality & Governance: - Define and enforce data-quality rules (schema validation, de-duplication, anomaly detection). - Maintain a comprehensive data catalog with lineage tracking. - Partner with Data Engineering to automate quality checks and metadata capture. - Collaboration & Communication: - Present complex analyses in clear, concise reports to both technical and non-technical audiences. Qualifications - Bachelor’s in Data Science, Statistics, Mathematics is desirable. - 5+ years in data analysis or BI—ideally within network security, cloud operations, or a SOC environment. - Very strong proficiency with SQL, including complex joins, window functions, CTEs, and performance tuning. - Deep experience with Spark (PySpark/Scala) and Python data libraries (pandas, NumPy). - Comfortable building and maintaining ETL pipelines (Airflow, Bash, Python). - Hands-on with data visualization tools (Tableau, Power BI, Looker, Grafana) and dashboard best practices. - Strong statistical analysis skills: hypothesis testing, regression, clustering, anomaly detection. - Experience defining and tracking KPIs and SLAs; able to translate business questions into measurable metrics. - Good understanding of data lake and lakehouse concepts, partitioning, and performant storage formats (Parquet, Delta). - Familiarity with data catalog/governance platforms (Apache Atlas, DataHub) and Git for schema/version control. - Skilled in data profiling, cleansing, and enrichment techniques to ensure high-quality inputs. - Strong problem-solving mindset, attention to detail, and ability to work under ambiguity. - Exceptional communication skills—able to translate complex data into actionable business insights in English. Requirements - Strong community: Work alongside top professionals in a friendly, open-door environment. - Growth focus: Take on large-scale projects with a global impact and expand your expertise. - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications. - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies. - Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice. - Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations.

Role Description Wir suchen aktuell einen International Key Account Manager Datentechnik (m/w/d) mit 100% Homeoffice. - Aufbau und aktive Weiterentwicklung des Partnernetzwerks - Strategische Betreuung bestehender Kunden inkl. Umsatzverantwortung, Zielerreichung und Margenentwicklung - Identifikation, Ansprache und Entwicklung neuer potenzieller Distributions- und Endkunden - Technische Beratung sowie Ausarbeitung individueller Lösungen in enger Abstimmung mit internen Fachbereichen - Marktanalysen, Messebesuche und Mitgestaltung von Marketing- und Vertriebsaktivitäten zur Stärkung der Markenpräsenz Qualifications - Abgeschlossenes Studium oder Ausbildung - Erfahrung im Vertriebsaußendienst, idealerweise im internationalen Raum - Kenntnisse im Bereich Elektrotechnik, Datentechnik, Netzwerktechnik, Glasfasertechnik, Industrieelektronik, Steuerungstechnik o.ä. - Fließende Deutsch- und Englischkenntnisse, idealerweise weitere Sprachen wie Spanisch und Italienisch - Europaweite Reisebereitschaft von etwa 30–40% Benefits - Dienstwagen, auch zur privaten Nutzung - Homeoffice, remote - Flexible Arbeitszeiten - Betriebliche Sozialleistungen, wie Vermögenswirksame Leistungen und betriebliche Altersvorsorge - Individuell zugeschnittene Entwicklungsmöglichkeiten - Jährliche Mitarbeitergespräche - Betriebsarzt - Jobrad - Mitarbeiterevents Company Description Wir suchen für unseren renommierten Kunden, ein Anbieter & Hersteller im Bereich Datentechnik, ab sofort und im Rahmen einer Direktvermittlung deutschlandweit.

Title: Social Science Data Librarian Location: Sciences Library Job Description: The Brown University Library seeks a collaborative, team-oriented Social Sciences Data Librarian to join the Center for Library Exploration and Research (CLEAR). As a key member of the CLEAR Data Services team, the successful candidate will serve as an expert technical consultant and educator, supporting data-driven research and data literacy with a special focus on data science methods, social sciences, and emerging research methodologies. The Social Science Data Librarian is responsible for providing high-level consultative support for the creation, processing, and analysis of numeric, financial, and survey data and is instrumental in designing curriculum-aligned educational programming. The essential functions of this position are to provide reference and consultative support to students and faculty in domains of responsibility; design, deliver, and assess curriculum-aligned educational programming with a focus on data science skills and practices; and conduct outreach to data-intensive academic programs and groups, including Economics, Sociology, Public Policy, and other related areas. Operating within a team-based model alongside specialists in GIS and data management, the Social Sciences Data Librarian will actively strengthen related library services and partnerships across the Brown community and support emerging research methodologies to advance the University’s interdisciplinary scholarly mission. Brown University Library is a dynamic center of scholarship and academic community, and a vital contributor to Brown’s mission as a distinctive, diverse, and world-class research university. Through its foundational services and distinctive programs, the Library fuels the intellectual creativity and academic community that is Brown’s hallmark. Reflecting Brown’s interdisciplinary ethos, the Library is a highly collaborative organization across individual content area portfolios and Library departments, and through partnership with other academic and administrative units at the University. Exemplifying the University’s values of academic freedom, open inquiry, and advancing diversity and inclusion in pursuit of academic excellence, we seek outstanding library professionals at all levels who are eager to advance academic excellence at the highest level and who will bring a wide range of backgrounds, experiences, and abilities to our scholarly community. Reporting to the Director of the Center for Library Exploration and Research, ​​this position will be hired at the Librarian II rank within the Brown University Library’s Program for Library Professionals, a professional development initiative designed to support career advancement Education and Experience Required - ALA-accredited master’s degree in library or information science or other advanced degree in a related field, such as social science. - Minimum of three years experience providing data-related services in an academic or professional setting. - ​​Academic background or work experience with the tools and methods in social science fields, such as data science, computational social science, demography, and/or policy. - Demonstrated experience with software for statistical, qualitative, and/or text analysis, such as SPSS, Stata, SAS, R, Python, NVivo, or data visualization tools, web scraping tools, data cleaning and similar methods. Preferred - Demonstrated expertise with information resources, research methodologies, and information technology tools and applications related to one or more of the following: qualitative research, and public policy methods such as polling and surveys, quantitative research, financial data. - Knowledge about social science research and publication practices, including open access and open data. - Knowledge of proprietary business and financial databases, such as WRDS, Refinitiv EIKON, or Datastream. Job Competencies - Excellence in the following: organizational skills, communication and interpersonal skills, time management, flexibility and problem solving, task prioritization. - Teamwork - Initiative, flexible, and the ability to work creatively and effectively both independently and as a team member - Engagement - Willingness to build meaningful relationships with campus partners, the students population, and colleagues in the Library - Teaching and Learning - Develop appropriate, sustainable, inclusive, and accessible learning objects and documentation using a variety of tools and technologies - Demonstrated commitment to public service and Library-based research and teaching support Background check: All offers of employment are contingent upon a successful criminal background check and education verification satisfactory to Brown. Benefits of Working at Brown: Please review additional information on the Benefits of Working at Brown. Job Posting Title: Social Science Data Librarian Department: University Library Grade: Grade 10 Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Scheduled Weekly Hours: 37.5 Position Work Location: Hybrid Submission Guidelines: Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. This position is not eligible for visa sponsorship. Still Have Questions? If you have any questions you may contact employment@brown.edu. Brown is an E-Verify Employer. EEO Statement: Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.