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PaneraTech, Inc.

<div>
 
 Who We Are
 
 
 
 PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:
 
 
 <ul>
 <li>
 Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production
 </li>
 <li>
 Enabling the next generation of workers - Heavy industries have relied on the experience of employees who worked for 20-30 years in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions to our customers to make their process more data-driven so that an early career workforce can flourish.
 
 
 </li>
 </ul>
 
 
 Working at PaneraTech
 
 
 
 
 At PaneraTech, you will be part of a global, innovative and hybrid working team. Our corporate office is based in the United States with employees spread across Europe, Asia, and South America. Turkey head office is in the Hacettepe Teknokent and branch is in Ostim. In this collaborative and inspiring culture that is fostered by a creative and intellectually stimulating work environment, you will be encouraged to bring the best out of yourself and your colleagues. We are looking for professionals willing to work in a fast-paced environment, cannot wait to excel in their work and are crazy about improvement! We recognize our colleagues' achievements and both individual and team performance is valuable to us.
 
 
 
 About The Job
 
 
 
 At PaneraTech, we are looking for a Junior Radar Data Analyst to support our commissioning IOT sensors, data evaluation and reporting processes. This role involves commissioning radar sensors, analyzing radar-based data sets to deliver high-quality insights and actionable results to our clients.
 
 
 The candidate must fully understand that this is an Operations job. It is not a research and development position. They will not be responsible for developing new methods and codes
 
 
 Training will be provided to educate the new hire on how to do commissioning and analyze the data following protocols and having a physical understanding of the systems. Applying problem-solving reasoning to obtain the best quality results will be done every day.
 
 
 This is a hybrid position (3 office days per week). We value potential, adaptability, and a growth mindset. If you are detail-oriented, curious, and excited about learning in a highly technical field, we would love to hear from you!
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Physics, Physics Engineering, Electrical and Electronics Engineering, Biomedical Engineering or Statistics
 </li>
 <li>
 2-3 years of experience in technical environments
 </li>
 <li>
 Statistical approach and programming skills are preferred
 </li>
 <li>
 Interest in signal processing, electromagnetic/RF theory, and radar systems
 </li>
 <li>
 Proficiency in MS Office and familiarity with project management principles
 </li>
 <li>
 Strong analytical thinking and a data-driven mindset
 </li>
 <li>
 Detail-oriented, creative, and effective problem-solving skills
 </li>
 <li>
 Excellent organizational, documentation, and time management abilities
 </li>
 <li>
 High integrity, reliability, and ethical standards
 </li>
 <li>
 Ability to work under pressure, prioritize tasks, and maintain focus
 </li>
 <li>
 Goal-oriented, self-motivated, adaptable, and eager to learn and grow in a technical environment
 </li>
 <li>
 Proficiency in English, both written and spoken
 </li>
 <li>
 Exceptional verbal and written communication skills with the ability to collaborate effectively with diverse teams and customers
 </li>
 <li>
 For male candidates, no military obligation or at least 2 years of deferment
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work closely with Field team to support and direct them in sensor installation and commissioning process
 </li>
 <li>
 Analyze radar sensor issues and guide the team in implementing solutions.
 </li>
 <li>
 Analyze radar data sets to provide accurate insights and timely results for global clients
 </li>
 <li>
 Offer regular feedback to team members and clients to ensure high-quality data collection in the field
 </li>
 <li>
 Review and process radar-based data with precision, ensuring reliability and compliance with standards
 </li>
 <li>
 Prepare and deliver project based reports, meeting deadlines and maintaining data quality
 </li>
 <li>
 Follow structured training programs to build expertise in data analysis protocols and system operations
 </li>
 <li>
 Apply problem-solving skills to support continuous improvement and maintain high-quality standards
 
 
 </li>
 </ul>
 This is an operations-focused position. It does not involve research and development tasks, such as developing new methods or coding.
 
 
 
 Benefits
 
 
 
 At PaneraTech, we recognize that our employees are the driving force behind our success. We are committed to creating a positive and supportive work environment.
 
 
 
 We Offer
 
 
 
 <ul>
 <li>
 Competitive monthly net salary
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 18 days holiday per annum
 </li>
 <li>
 A transparent work environment
 </li>
 <li>
 An agile structure that values open communication and instant feedback
 </li>
 <li>
 Opportunities for personal and professional growth
 </li>
 <li>
 A global and diverse team dedicated to improving the company and every single colleague within
 </li>
 </ul>
</div>

Jr. Radar Data Analyst

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Associate Manager, Marketing Innovation (New Channel Growth)
 
 
 
 
 Get to Know our Team:
 
 
 
 The Marketing Innovations Team at Agoda identifies &amp; develops new marketing channels that have high growth potential. This department is highly creative, data-driven and focused on developing at-scale marketing programs that ensure Agoda&rsquo;s leadership in the new &amp; emerging channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Marketing Innovations Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
 
 
 
 In this role, you&rsquo;ll get to:
 
 
 
 <ul>
 <li>
 Spearhead the development, execution, and optimization strategy for growing Agoda's new &amp; emerging marketing channels
 </li>
 <li>
 Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights
 </li>
 <li>
 Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth
 </li>
 <li>
 Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau
 </li>
 <li>
 Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
 
 
 </li>
 </ul>
 
 What you&rsquo;ll need to succeed:
 
 
 
 <ul>
 <li>
 Extensive Experience: 5-7 years in Data Analyst position or otherwise in projects involving big data &mdash; preferably in the tech, e-commerce, or digital marketing industry. Bachelor&rsquo;s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus.
 </li>
 <li>
 Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel
 </li>
 <li>
 Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
 </li>
 <li>
 Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
 </li>
 <li>
 Stakeholder management: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Experience in digital or social media marketing
 </li>
 <li>
 Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
 
 
 </li>
 </ul>
 #Paris #London #Randstad #Dublin #Milan #Berlin #Barcelona #Cracow #Budapest #Wroclaw #Rome #Manchester #Frankfurt #StLouis #Johannesburg #Bengaluru #Hyderabad #Delhi #Chennai #Mumbai #PunePimpriChinchwad #Noida #Kolkata #Jakarta #Singapore #Bangladesh #Coimbatore #KualaLumpur #Vietnam #MetroManila #Ahmedabad #Indore #Nagpur #Vijayawada #Lucknow #Bhubaneswar #Kochi #HongKong #TelAviv #Shanghai #Bangkok #Jaipur #Seoul #SouthKorea #NewYorkCity #SanFranciscoBay #DallasFortWorth #Chicago #LosAngeles #WashingtonDCBaltimore #Boston #Atlanta #Philadelphia #Austin #Seattle #Houston #Phoenix #Denver #Charlotte #Minneapolis #RaleighDurham #Detroit #Miami #SanDiego #TampaBay #Vancouver #Montreal #Toronto #SaoPaulo #BuenosAires #RioDeJaneiro #Chile #Peru #Colombia #MexicoCity #Nigeria #Kenya #SriLanka #CostaRica #UAE #SaudiArabia #Egypt #Ankara
 
 
 #MarketingInnovation #SQL #dataanalysis #PerformanceMarketing #tiktok
 
 
 #Travel #Tech
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

Associate Manager, Marketing Innovation (Bangkok-based, relocation provided)

<div>
 
 Who We Are
 
 
 
 PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:
 
 
 <ul>
 <li>
 Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production
 </li>
 <li>
 Enabling the next generation of workers - Heavy industries have relied on the experience of employees who worked for 20-30 years in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions to our customers to make their process more data-driven so that an early career workforce can flourish.
 
 
 </li>
 </ul>
 
 
 Working at PaneraTech
 
 
 
 
 At PaneraTech, you will be part of a global, innovative and hybrid working team. Our corporate office is based in the United States with employees spread across Europe, Asia, and South America. Turkey head office is in the Hacettepe Teknokent and branch is in Ostim. In this collaborative and inspiring culture that is fostered by a creative and intellectually stimulating work environment, you will be encouraged to bring the best out of yourself and your colleagues. We are looking for professionals willing to work in a fast-paced environment, cannot wait to excel in their work and are crazy about improvement! We recognize our colleagues' achievements and both individual and team performance is valuable to us.
 
 
 
 About The Job
 
 
 
 We are looking for a highly motivated Junior Data Scientist to join our team and contribute to the development of data-driven solutions for industrial AI systems. Join a dynamic global team shaping the future of manufacturing with innovative technology. Your work will enhance safety, improve efficiency, and support the next generation of industrial professionals.
 
 
 This is a hybrid position with 3 office days per week at our office in Hacettepe Teknokent.
 
 
 
 
 Impact of Your Work
 
 
 
 
 At PaneraTech, your work will have a tangible impact on global manufacturing. AI modules developed by Junior Data Scientists on our team are actively used in production at the Chicago plant of the largest steel manufacturer in the United States. This role provides a unique opportunity to contribute to solutions that drive real-world industrial transformation.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from a reputable university in Engineering, Mathematics, Statistics, Physics, or a related field
 </li>
 <li>
 CGPA higher than 3,5
 </li>
 <li>
 Experience with R, MATLAB, or Python
 </li>
 <li>
 Excellent command of English (verbal and written)
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and a data-driven mindset
 </li>
 <li>
 Curiosity and motivation to tackle technical challenges
 </li>
 <li>
 Detail-oriented, creative, and adaptable
 </li>
 <li>
 High integrity, reliability, and strong ethical standards
 </li>
 <li>
 Ability to work collaboratively within a team environment and across multiple departments
 </li>
 <li>
 A continuous learning mindset to stay up to date with the latest developments in data science
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work on data collection processes
 </li>
 <li>
 Oversee data quality and develop procedures to ensure high quality data (data cleaning
 </li>
 <li>
 Work on data labeling
 </li>
 <li>
 Collaborate with stakeholders to understand the business side of industrial AI data
 </li>
 <li>
 Work on data processing
 </li>
 <li>
 Develop basic data analytics tools to extract insights from manufacturing processes
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 At PaneraTech, we recognize that our employees are the driving force behind our success. We are committed to creating a positive and supportive work environment.
 
 
 
 We Offer
 
 
 
 <ul>
 <li>
 Competitive monthly net salary
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 18 days holiday per annum
 </li>
 <li>
 A transparent work environment
 </li>
 <li>
 An agile structure that values open communication and instant feedback
 </li>
 <li>
 Opportunities for personal and professional growth
 </li>
 <li>
 A global and diverse team dedicated to improving the company and every single colleague within
 </li>
 </ul>
</div>

Jr. Data Scientist

dataSpecta

<div>
 
 
 Business Intelligence (BI) Developer
 
 
 
 
 
 
 
 About the job:
 
 
 
 
 
 
 Innovance provides the latest generation &amp; high-quality digital transformation initiatives for banks and other financial institutions since 2017 from near sourcing services to technology advisory services. Innovance focuses on impact &amp; delivery by providing world-class strategic IT leadership, remote or on-site support to clients at all layers with measurable results on operational &amp; financial verticals.
 
 
 
 
 
 We are looking for a highly motivated and detail oriented
 
 &lsquo;&rsquo;Business Intelligence Developer&rsquo;&rsquo;
 
 with proven expertise in BI tools to join our data team. The ideal candidate will have strong data modeling and visualization skills, coupled with a solid foundation in SQL and business intelligence concepts.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Be responsible for all Business Intelligence and Reporting needs of our customer
 </li>
 <li>
 Be a part of a team to enable executive dashboards, prepare visualization and reporting solutions using BI tools on Cloud and On-prem Environments
 </li>
 <li>
 Ability to design dashboards with advanced concepts to bring best practices
 </li>
 <li>
 Analyze and identify the data requirements of business stakeholders
 </li>
 <li>
 Support team in data modeling, design, test and data quality life cycles
 </li>
 <li>
 Develop collaborative relationship with data team and cross-functional stakeholders for efficient resolutions
 </li>
 <li>
 Translate business needs to technical specifications
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative discipline (e.g., Computer Engineering, Industrial Engineering, MIS, Mathematics, or Statistics)
 </li>
 <li>
 
 Minimum 4 years
 
 of professional experience in business intelligence, analytics, or data engineering roles
 </li>
 <li>
 
 Hands-on experience with BI tools
 
 (e.g., PowerBI, Tableau, Qlik Sense, or SAP BO)
 </li>
 <li>
 Strong command of
 
 SQL
 
 , with the ability to write complex queries and perform data profiling
 </li>
 <li>
 Experience working with relational databases such as
 
 SQL Server
 
 or
 
 Oracle
 
 </li>
 <li>
 Experience in data warehouse modernization projects is a strong plus
 </li>
 <li>
 Familiarity with
 
 ETL tools
 
 such as Azure Data Factory, SSIS, ODI, or Informatica is preferred
 </li>
 <li>
 Understanding of cloud data platforms (Azure, AWS) is a plus
 </li>
 <li>
 Exposure to diverse BI ecosystems is a plus
 </li>
 <li>
 Experience working in agile/scrum environments
 </li>
 <li>
 Ability to explain data concepts to both technical and non-technical stakeholders
 </li>
 <li>
 Strong communication skills and fluency in English, both written and verbal
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desired Characteristics:
 
 
 <ul>
 <li>
 Eager to learn new tools and technologies
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Strong teamwork and communication skills
 </li>
 <li>
 Data-driven analytical mindset
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Solution-oriented
 </li>
 <li>
 Self-starter
 </li>
 </ul>
 
 
 
 
 
 
 Follow us:
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/innovance-consultancy
 </li>
 <li>
 LinkedIn: https://www.linkedin.com/company/dataspecta
 </li>
 <li>
 Instagram: https://www.instagram.com/innovanceconsultancy
 </li>
 <li>
 Instagram: https://www.instagram.com/dataspecta
 </li>
 </ul>
</div>

Business Intelligence (BI) Developer

PtteM

<div>
 
 We are a fast-growing digital commerce company, delivering innovative technology solutions to millions of users globally. Our data science team plays a key role in shaping product decisions, optimizing business operations, and delivering personalized user experiences. We are looking for an experienced
 
 Data Scientist
 
 who is equally comfortable with
 
 Predictive Modeling
 
 and
 
 Natural Language Processing (NLP) / Large Language Models (LLMs)
 
 to deliver full-stack data solutions from raw data to production-ready models.As a Data Scientist, you will work across the entire analytics lifecycle &mdash; from
 
 data exploration and feature engineering
 
 to
 
 model development, deployment, and monitoring
 
 . You will develop predictive models for recommendation systems, demand forecasting and customer behavior analysis, while also building NLP/LLM-powered applications for search, personalization, and automation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 ML models
 
 for recommendation, forecasting and optimization problems.
 </li>
 <li>
 Build
 
 NLP and LLM-based solutions
 
 for text classification, summarization, semantic search, and conversational AI.
 </li>
 <li>
 Perform end-to-end data science tasks: data collection, cleaning, feature engineering, and exploratory analysis.
 </li>
 <li>
 Implement
 
 full-stack machine learning pipelines
 
 from experimentation to production deployment.
 </li>
 <li>
 Leverage cloud-based environments (especially GCP) for scalable model training and serving.
 </li>
 <li>
 Collaborate with Product, Engineering, and Business teams to translate requirements into actionable data solutions.
 </li>
 <li>
 Continuously monitor, evaluate, refine and report model performance.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 4+ years of experience in applied data science, with expertise in both
 
 predictive analytics and NLP
 
 .
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Hands-on experience with
 
 Hugging Face Transformers
 
 and LLM services.
 </li>
 <li>
 Strong SQL skills and experience with data warehouses (BigQuery or other DBs).
 </li>
 <li>
 Familiarity with MLOps practices and data orchestration tools (MLflow, Airflow).
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 vector databases
 
 (Pinecone, FAISS, Weaviate) for semantic search and retrieval-augmented generation (RAG).
 </li>
 <li>
 Domain experience in e-commerce or large-scale digital platforms.
 </li>
 <li>
 Understanding of microservices architecture and API-first model serving (e.g.,
 
 Flask
 
 ,
 
 FastAPI
 
 ).
 </li>
 <li>
 Exposure to real-time analytics and streaming data processing (Kafka, Flink).
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on
 
 end-to-end data science projects
 
 that combine predictive analytics, NLP, and LLMs.
 </li>
 <li>
 Opportunity to impact millions of users with data-driven innovation.
 </li>
 <li>
 Collaborative and agile work environment.
 </li>
 <li>
 Flexible working arrangements and professional development opportunities.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 </ul>
 
 
</div>

Data Scientist

Studio Fungo

<div>
 
 
 About Us
 
 
 
 We are a team driven by an entrepreneurial approach, specializing in crafting creative solutions and exceptional design for visionary founders. Our mission is to partner with innovators and transform their vision into reality through thoughtful and impactful design.
 
 
 
 
 
 
 Role Overview
 
 
 
 In this role, you will be at the heart of our mission to transform the visions of innovators into reality. You will work closely with visionary clients and our internal teams to translate groundbreaking ideas into tangible, creative, and impactful digital solutions. As a critical bridge between strategy and execution, your primary role is to uncover user needs and ensure that every product we design is both exceptional and effective, helping us bring our partners' visions to life.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Analyze business needs alongside Product Owners and translate them into detailed User Stories and Acceptance Criteria.
 </li>
 <li>
 Facilitate analysis meetings and actively participate in Scrum ceremonies with the development and design teams.
 </li>
 <li>
 Support product backlog management, conduct demos, and gather feedback from stakeholders.
 </li>
 <li>
 Contribute to market research to proactively suggest product improvements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Ideally with a background in fields like Business Administration, Industrial Engineering, MIS, or related areas.
 </li>
 <li>
 Strong analytical, organizational, and communication skills.
 </li>
 <li>
 A foundational understanding of Agile (Scrum) methodologies and digital product development.
 </li>
 <li>
 Excellent command of English.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 We foster a high-performance culture where your drive is rewarded with rapid growth. We provide continuous learning opportunities, dedicated mentorship, and a platform where your voice truly matters. You'll join a diverse, global community and receive a world-class benefits package, including a competitive salary, comprehensive private health insurance, and a flexible hybrid work model.
 
 
 
 
 
 
 If you are ready to make a meaningful impact, we encourage you to apply.
 
 
</div>

Junior Business Analyst

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